<?xml version="1.0" encoding="UTF-8"?>
<model>
<topic id='0' tokens='11295.0000' document_entropy='2.4639' word-length='7.2000' coherence='-556.5603' uniform_dist='4.2748' corpus_dist='3.8559' eff_num_words='660.9832' token-doc-diff='0.0834' rank_1_docs='0.2692' allocation_ratio='0.0833' allocation_count='0.1923' exclusivity='0.6889'>
<word rank='1' count='145' prob='0.01284' cumulative='0.01284' docs='11' word-length='4.0000' coherence='0.0000' uniform_dist='0.0969' corpus_dist='0.0297' token-doc-diff='0.0007' exclusivity='0.1617'>text</word>
<word rank='2' count='128' prob='0.01133' cumulative='0.02417' docs='6' word-length='7.0000' coherence='-1.2961' uniform_dist='0.0841' corpus_dist='0.0494' token-doc-diff='0.0006' exclusivity='0.8531'>ancient</word>
<word rank='3' count='110' prob='0.00974' cumulative='0.03391' docs='1' word-length='7.0000' coherence='-2.3860' uniform_dist='0.0708' corpus_dist='0.0464' token-doc-diff='0.0137' exclusivity='0.9971'>epinoia</word>
<word rank='4' count='89' prob='0.00788' cumulative='0.04179' docs='1' word-length='11.0000' coherence='-6.7250' uniform_dist='0.0556' corpus_dist='0.0375' token-doc-diff='0.0097' exclusivity='0.9965'>oracle-bone</word>
<word rank='5' count='76' prob='0.00673' cumulative='0.04852' docs='11' word-length='7.0000' coherence='-4.3390' uniform_dist='0.0464' corpus_dist='0.0102' token-doc-diff='0.0080' exclusivity='0.1407'>digital</word>
<word rank='6' count='69' prob='0.00611' cumulative='0.05463' docs='1' word-length='6.0000' coherence='-6.7250' uniform_dist='0.0416' corpus_dist='0.0291' token-doc-diff='0.0061' exclusivity='0.9954'>maaori</word>
<word rank='7' count='69' prob='0.00611' cumulative='0.06073' docs='5' word-length='6.0000' coherence='-6.1198' uniform_dist='0.0416' corpus_dist='0.0237' token-doc-diff='0.0002' exclusivity='0.5299'>prayer</word>
<word rank='8' count='69' prob='0.00611' cumulative='0.06684' docs='3' word-length='4.0000' coherence='-6.1198' uniform_dist='0.0416' corpus_dist='0.0289' token-doc-diff='0.0006' exclusivity='0.9696'>icon</word>
<word rank='9' count='67' prob='0.00593' cumulative='0.07278' docs='4' word-length='8.0000' coherence='-6.1198' uniform_dist='0.0402' corpus_dist='0.0283' token-doc-diff='0.0000' exclusivity='0.9953'>romanian</word>
<word rank='10' count='67' prob='0.00593' cumulative='0.07871' docs='4' word-length='10.0000' coherence='-6.1198' uniform_dist='0.0402' corpus_dist='0.0191' token-doc-diff='0.0000' exclusivity='0.6094'>authorship</word>
<word rank='11' count='59' prob='0.00522' cumulative='0.08393' docs='9' word-length='4.0000' coherence='-4.3390' uniform_dist='0.0347' corpus_dist='0.0157' token-doc-diff='0.0071' exclusivity='0.4097'>book</word>
<word rank='12' count='58' prob='0.00514' cumulative='0.08907' docs='1' word-length='4.0000' coherence='-6.1198' uniform_dist='0.0341' corpus_dist='0.0240' token-doc-diff='0.0043' exclusivity='0.9447'>fans</word>
<word rank='13' count='57' prob='0.00505' cumulative='0.09411' docs='9' word-length='11.0000' coherence='-4.3390' uniform_dist='0.0334' corpus_dist='0.0117' token-doc-diff='0.0076' exclusivity='0.2576'>intelligent</word>
<word rank='14' count='52' prob='0.00460' cumulative='0.09872' docs='1' word-length='13.0000' coherence='-5.9379' uniform_dist='0.0300' corpus_dist='0.0219' token-doc-diff='0.0034' exclusivity='0.9940'>ancient_books</word>
<word rank='15' count='52' prob='0.00460' cumulative='0.10332' docs='2' word-length='7.0000' coherence='-5.9379' uniform_dist='0.0300' corpus_dist='0.0113' token-doc-diff='0.0008' exclusivity='0.1708'>chinese</word>
<word rank='16' count='49' prob='0.00434' cumulative='0.10766' docs='1' word-length='6.0000' coherence='-6.1198' uniform_dist='0.0280' corpus_dist='0.0206' token-doc-diff='0.0030' exclusivity='0.9754'>fandom</word>
<word rank='17' count='49' prob='0.00434' cumulative='0.11200' docs='10' word-length='5.0000' coherence='-4.3390' uniform_dist='0.0280' corpus_dist='0.0064' token-doc-diff='0.0119' exclusivity='0.0680'>image</word>
<word rank='18' count='48' prob='0.00425' cumulative='0.11625' docs='1' word-length='13.0000' coherence='-5.9379' uniform_dist='0.0274' corpus_dist='0.0202' token-doc-diff='0.0028' exclusivity='0.9844'>ancient_texts</word>
<word rank='19' count='47' prob='0.00416' cumulative='0.12041' docs='1' word-length='3.0000' coherence='-6.7250' uniform_dist='0.0267' corpus_dist='0.0196' token-doc-diff='0.0027' exclusivity='0.9659'>obi</word>
<word rank='20' count='46' prob='0.00407' cumulative='0.12448' docs='3' word-length='8.0000' coherence='-6.1198' uniform_dist='0.0261' corpus_dist='0.0173' token-doc-diff='0.0000' exclusivity='0.7586'>orthodox</word>
</topic>
<topic id='1' tokens='27992.0000' document_entropy='3.3402' word-length='7.8000' coherence='-124.9567' uniform_dist='4.4788' corpus_dist='2.9377' eff_num_words='311.5721' token-doc-diff='0.0303' rank_1_docs='0.1444' allocation_ratio='0.0000' allocation_count='0.1222' exclusivity='0.6770'>
<word rank='1' count='970' prob='0.03465' cumulative='0.03465' docs='48' word-length='9.0000' coherence='0.0000' uniform_dist='0.2960' corpus_dist='0.1325' token-doc-diff='0.0118' exclusivity='0.9596'>religious</word>
<word rank='2' count='499' prob='0.01783' cumulative='0.05248' docs='41' word-length='8.0000' coherence='-0.2876' uniform_dist='0.1404' corpus_dist='0.0667' token-doc-diff='0.0013' exclusivity='0.8781'>religion</word>
<word rank='3' count='435' prob='0.01554' cumulative='0.06802' docs='32' word-length='9.0000' coherence='-0.4698' uniform_dist='0.1203' corpus_dist='0.0598' token-doc-diff='0.0019' exclusivity='0.9895'>religions</word>
<word rank='4' count='392' prob='0.01400' cumulative='0.08202' docs='36' word-length='3.0000' coherence='-0.4053' uniform_dist='0.1069' corpus_dist='0.0520' token-doc-diff='0.0005' exclusivity='0.8201'>god</word>
<word rank='5' count='264' prob='0.00943' cumulative='0.09145' docs='35' word-length='8.0000' coherence='-0.4371' uniform_dist='0.0683' corpus_dist='0.0258' token-doc-diff='0.0001' exclusivity='0.3870'>creation</word>
<word rank='6' count='253' prob='0.00904' cumulative='0.10049' docs='35' word-length='22.0000' coherence='-0.4053' uniform_dist='0.0651' corpus_dist='-0.0077' token-doc-diff='0.0002' exclusivity='0.0304'>artificialintelligence</word>
<word rank='7' count='237' prob='0.00847' cumulative='0.10896' docs='36' word-length='9.0000' coherence='-0.4053' uniform_dist='0.0604' corpus_dist='0.0316' token-doc-diff='0.0004' exclusivity='0.8766'>spiritual</word>
<word rank='8' count='196' prob='0.00700' cumulative='0.11596' docs='32' word-length='8.0000' coherence='-0.5751' uniform_dist='0.0486' corpus_dist='0.0269' token-doc-diff='0.0006' exclusivity='0.9844'>theology</word>
<word rank='9' count='186' prob='0.00664' cumulative='0.12261' docs='13' word-length='8.0000' coherence='-1.3855' uniform_dist='0.0458' corpus_dist='0.0255' token-doc-diff='0.0010' exclusivity='0.9783'>buddhism</word>
<word rank='10' count='181' prob='0.00647' cumulative='0.12907' docs='32' word-length='4.0000' coherence='-0.5388' uniform_dist='0.0444' corpus_dist='0.0145' token-doc-diff='0.0009' exclusivity='0.3635'>life</word>
<word rank='11' count='175' prob='0.00625' cumulative='0.13532' docs='32' word-length='5.0000' coherence='-0.5388' uniform_dist='0.0427' corpus_dist='0.0041' token-doc-diff='0.0010' exclusivity='0.0802'>human</word>
<word rank='12' count='167' prob='0.00597' cumulative='0.14129' docs='31' word-length='11.0000' coherence='-0.5388' uniform_dist='0.0405' corpus_dist='0.0230' token-doc-diff='0.0011' exclusivity='0.9956'>theological</word>
<word rank='13' count='158' prob='0.00564' cumulative='0.14693' docs='28' word-length='6.0000' coherence='-0.7354' uniform_dist='0.0380' corpus_dist='0.0215' token-doc-diff='0.0008' exclusivity='0.9862'>divine</word>
<word rank='14' count='157' prob='0.00561' cumulative='0.15254' docs='34' word-length='9.0000' coherence='-0.4698' uniform_dist='0.0377' corpus_dist='0.0212' token-doc-diff='0.0020' exclusivity='0.9193'>christian</word>
<word rank='15' count='143' prob='0.00511' cumulative='0.15765' docs='25' word-length='8.0000' coherence='-0.8105' uniform_dist='0.0339' corpus_dist='0.0145' token-doc-diff='0.0007' exclusivity='0.4191'>humanity</word>
<word rank='16' count='141' prob='0.00504' cumulative='0.16269' docs='18' word-length='5.0000' coherence='-1.0981' uniform_dist='0.0333' corpus_dist='0.0194' token-doc-diff='0.0000' exclusivity='0.9948'>god’s</word>
<word rank='17' count='135' prob='0.00482' cumulative='0.16751' docs='27' word-length='5.0000' coherence='-0.6129' uniform_dist='0.0317' corpus_dist='0.0055' token-doc-diff='0.0012' exclusivity='0.1059'>world</word>
<word rank='18' count='123' prob='0.00439' cumulative='0.17191' docs='7' word-length='3.0000' coherence='-3.5136' uniform_dist='0.0285' corpus_dist='0.0164' token-doc-diff='0.0011' exclusivity='0.8452'>awe</word>
<word rank='19' count='116' prob='0.00414' cumulative='0.17605' docs='30' word-length='5.0000' coherence='-0.8448' uniform_dist='0.0266' corpus_dist='0.0150' token-doc-diff='0.0026' exclusivity='0.7754'>faith</word>
<word rank='20' count='104' prob='0.00372' cumulative='0.17977' docs='21' word-length='11.0000' coherence='-1.2481' uniform_dist='0.0234' corpus_dist='0.0060' token-doc-diff='0.0010' exclusivity='0.1508'>individuals</word>
</topic>
<topic id='2' tokens='14219.0000' document_entropy='2.6810' word-length='7.5000' coherence='-303.8083' uniform_dist='4.7493' corpus_dist='3.6302' eff_num_words='291.9056' token-doc-diff='0.0237' rank_1_docs='0.0667' allocation_ratio='0.0000' allocation_count='0.0833' exclusivity='0.7500'>
<word rank='1' count='394' prob='0.02771' cumulative='0.02771' docs='31' word-length='7.0000' coherence='0.0000' uniform_dist='0.2305' corpus_dist='0.1192' token-doc-diff='0.0021' exclusivity='0.9440'>medical</word>
<word rank='2' count='283' prob='0.01990' cumulative='0.04761' docs='24' word-length='8.0000' coherence='-0.4380' uniform_dist='0.1590' corpus_dist='0.0857' token-doc-diff='0.0010' exclusivity='0.8804'>patients</word>
<word rank='3' count='201' prob='0.01414' cumulative='0.06175' docs='29' word-length='7.0000' coherence='-0.2558' uniform_dist='0.1081' corpus_dist='0.0591' token-doc-diff='0.0005' exclusivity='0.7248'>patient</word>
<word rank='4' count='195' prob='0.01371' cumulative='0.07546' docs='24' word-length='8.0000' coherence='-0.4226' uniform_dist='0.1044' corpus_dist='0.0570' token-doc-diff='0.0000' exclusivity='0.9376'>medicine</word>
<word rank='5' count='186' prob='0.01308' cumulative='0.08854' docs='25' word-length='10.0000' coherence='-0.5433' uniform_dist='0.0990' corpus_dist='0.0452' token-doc-diff='0.0002' exclusivity='0.4587'>healthcare</word>
<word rank='6' count='172' prob='0.01210' cumulative='0.10064' docs='20' word-length='4.0000' coherence='-0.7255' uniform_dist='0.0906' corpus_dist='0.0155' token-doc-diff='0.0000' exclusivity='0.1437'>data</word>
<word rank='7' count='155' prob='0.01090' cumulative='0.11154' docs='25' word-length='8.0000' coherence='-0.5104' uniform_dist='0.0805' corpus_dist='0.0485' token-doc-diff='0.0009' exclusivity='0.9484'>clinical</word>
<word rank='8' count='146' prob='0.01027' cumulative='0.12181' docs='23' word-length='6.0000' coherence='-0.5104' uniform_dist='0.0752' corpus_dist='0.0321' token-doc-diff='0.0007' exclusivity='0.3525'>health</word>
<word rank='9' count='132' prob='0.00928' cumulative='0.13109' docs='19' word-length='9.0000' coherence='-0.6534' uniform_dist='0.0671' corpus_dist='0.0380' token-doc-diff='0.0003' exclusivity='0.7563'>treatment</word>
<word rank='10' count='131' prob='0.00921' cumulative='0.14031' docs='18' word-length='7.0000' coherence='-0.8203' uniform_dist='0.0665' corpus_dist='0.0411' token-doc-diff='0.0002' exclusivity='0.9367'>disease</word>
<word rank='11' count='129' prob='0.00907' cumulative='0.14938' docs='14' word-length='8.0000' coherence='-1.1691' uniform_dist='0.0653' corpus_dist='0.0281' token-doc-diff='0.0000' exclusivity='0.5583'>evidence</word>
<word rank='12' count='110' prob='0.00774' cumulative='0.15711' docs='21' word-length='4.0000' coherence='-0.6610' uniform_dist='0.0545' corpus_dist='0.0259' token-doc-diff='0.0015' exclusivity='0.5030'>care</word>
<word rank='13' count='106' prob='0.00745' cumulative='0.16457' docs='10' word-length='9.0000' coherence='-1.3533' uniform_dist='0.0522' corpus_dist='0.0338' token-doc-diff='0.0002' exclusivity='0.9963'>physician</word>
<word rank='14' count='104' prob='0.00731' cumulative='0.17188' docs='5' word-length='4.0000' coherence='-2.4789' uniform_dist='0.0511' corpus_dist='0.0319' token-doc-diff='0.0022' exclusivity='0.8882'>skin</word>
<word rank='15' count='95' prob='0.00668' cumulative='0.17856' docs='3' word-length='12.0000' coherence='-7.5453' uniform_dist='0.0461' corpus_dist='0.0292' token-doc-diff='0.0036' exclusivity='0.9787'>segmentation</word>
<word rank='16' count='85' prob='0.00598' cumulative='0.18454' docs='11' word-length='8.0000' coherence='-1.3846' uniform_dist='0.0406' corpus_dist='0.0050' token-doc-diff='0.0000' exclusivity='0.0587'>learning</word>
<word rank='17' count='80' prob='0.00563' cumulative='0.19017' docs='18' word-length='9.0000' coherence='-0.6926' uniform_dist='0.0378' corpus_dist='0.0245' token-doc-diff='0.0021' exclusivity='0.9731'>diagnosis</word>
<word rank='18' count='78' prob='0.00549' cumulative='0.19565' docs='1' word-length='8.0000' coherence='-7.7603' uniform_dist='0.0367' corpus_dist='0.0249' token-doc-diff='0.0055' exclusivity='0.9950'>nativism</word>
<word rank='19' count='77' prob='0.00542' cumulative='0.20107' docs='4' word-length='6.0000' coherence='-4.3390' uniform_dist='0.0362' corpus_dist='0.0245' token-doc-diff='0.0014' exclusivity='0.9950'>lesion</word>
<word rank='20' count='66' prob='0.00464' cumulative='0.20571' docs='14' word-length='8.0000' coherence='-5.4289' uniform_dist='0.0303' corpus_dist='0.0206' token-doc-diff='0.0014' exclusivity='0.9695'>diseases</word>
</topic>
<topic id='3' tokens='20215.0000' document_entropy='2.9772' word-length='8.5000' coherence='-200.4957' uniform_dist='4.8422' corpus_dist='2.9629' eff_num_words='231.9525' token-doc-diff='0.0327' rank_1_docs='0.0870' allocation_ratio='0.0417' allocation_count='0.0761' exclusivity='0.4774'>
<word rank='1' count='741' prob='0.03666' cumulative='0.03666' docs='33' word-length='3.0000' coherence='0.0000' uniform_dist='0.3152' corpus_dist='0.1533' token-doc-diff='0.0110' exclusivity='0.9993'>xai</word>
<word rank='2' count='477' prob='0.02360' cumulative='0.06025' docs='36' word-length='13.0000' coherence='-0.4518' uniform_dist='0.1925' corpus_dist='0.0598' token-doc-diff='0.0016' exclusivity='0.4688'>understanding</word>
<word rank='3' count='349' prob='0.01726' cumulative='0.07752' docs='40' word-length='11.0000' coherence='-0.2876' uniform_dist='0.1354' corpus_dist='0.0705' token-doc-diff='0.0000' exclusivity='0.9198'>explainable</word>
<word rank='4' count='314' prob='0.01553' cumulative='0.09305' docs='28' word-length='14.0000' coherence='-0.5387' uniform_dist='0.1202' corpus_dist='0.0624' token-doc-diff='0.0004' exclusivity='0.8608'>explainability</word>
<word rank='5' count='292' prob='0.01444' cumulative='0.10749' docs='28' word-length='11.0000' coherence='-0.5531' uniform_dist='0.1107' corpus_dist='0.0516' token-doc-diff='0.0002' exclusivity='0.7068'>explanation</word>
<word rank='6' count='281' prob='0.01390' cumulative='0.12140' docs='32' word-length='7.0000' coherence='-0.5531' uniform_dist='0.1060' corpus_dist='0.0230' token-doc-diff='0.0000' exclusivity='0.2026'>systems</word>
<word rank='7' count='243' prob='0.01202' cumulative='0.13342' docs='26' word-length='5.0000' coherence='-0.6388' uniform_dist='0.0900' corpus_dist='0.0330' token-doc-diff='0.0000' exclusivity='0.3089'>trust</word>
<word rank='8' count='237' prob='0.01172' cumulative='0.14514' docs='33' word-length='6.0000' coherence='-0.5106' uniform_dist='0.0874' corpus_dist='0.0215' token-doc-diff='0.0004' exclusivity='0.2124'>system</word>
<word rank='9' count='217' prob='0.01073' cumulative='0.15587' docs='31' word-length='12.0000' coherence='-0.5210' uniform_dist='0.0791' corpus_dist='0.0392' token-doc-diff='0.0005' exclusivity='0.6706'>explanations</word>
<word rank='10' count='148' prob='0.00732' cumulative='0.16320' docs='27' word-length='6.0000' coherence='-0.5531' uniform_dist='0.0512' corpus_dist='0.0101' token-doc-diff='0.0013' exclusivity='0.1830'>models</word>
<word rank='11' count='131' prob='0.00648' cumulative='0.16968' docs='26' word-length='5.0000' coherence='-0.5875' uniform_dist='0.0445' corpus_dist='0.0063' token-doc-diff='0.0017' exclusivity='0.1212'>model</word>
<word rank='12' count='122' prob='0.00604' cumulative='0.17571' docs='9' word-length='9.0000' coherence='-1.9431' uniform_dist='0.0410' corpus_dist='0.0181' token-doc-diff='0.0005' exclusivity='0.4638'>abilities</word>
<word rank='13' count='121' prob='0.00599' cumulative='0.18170' docs='24' word-length='8.0000' coherence='-0.6928' uniform_dist='0.0406' corpus_dist='0.0036' token-doc-diff='0.0016' exclusivity='0.0849'>research</word>
<word rank='14' count='120' prob='0.00594' cumulative='0.18763' docs='16' word-length='10.0000' coherence='-1.2032' uniform_dist='0.0402' corpus_dist='0.0174' token-doc-diff='0.0001' exclusivity='0.4358'>autonomous</word>
<word rank='15' count='118' prob='0.00584' cumulative='0.19347' docs='19' word-length='5.0000' coherence='-1.0492' uniform_dist='0.0395' corpus_dist='0.0096' token-doc-diff='0.0006' exclusivity='0.0975'>users</word>
<word rank='16' count='116' prob='0.00574' cumulative='0.19921' docs='21' word-length='10.0000' coherence='-0.8091' uniform_dist='0.0387' corpus_dist='0.0103' token-doc-diff='0.0010' exclusivity='0.1750'>algorithms</word>
<word rank='17' count='114' prob='0.00564' cumulative='0.20485' docs='5' word-length='7.0000' coherence='-3.2832' uniform_dist='0.0379' corpus_dist='0.0214' token-doc-diff='0.0017' exclusivity='0.6887'>theorem</word>
<word rank='18' count='111' prob='0.00549' cumulative='0.21034' docs='28' word-length='12.0000' coherence='-1.5989' uniform_dist='0.0368' corpus_dist='0.0128' token-doc-diff='0.0032' exclusivity='0.2150'>transparency</word>
<word rank='19' count='91' prob='0.00450' cumulative='0.21484' docs='2' word-length='6.0000' coherence='-7.6585' uniform_dist='0.0293' corpus_dist='0.0187' token-doc-diff='0.0030' exclusivity='0.9686'>proofs</word>
<word rank='20' count='87' prob='0.00430' cumulative='0.21914' docs='26' word-length='10.0000' coherence='-0.9123' uniform_dist='0.0278' corpus_dist='0.0148' token-doc-diff='0.0040' exclusivity='0.7655'>explaining</word>
</topic>
<topic id='4' tokens='13905.0000' document_entropy='2.7189' word-length='7.8000' coherence='-335.6462' uniform_dist='4.3722' corpus_dist='3.5129' eff_num_words='460.4085' token-doc-diff='0.0377' rank_1_docs='0.1500' allocation_ratio='0.0000' allocation_count='0.0667' exclusivity='0.5419'>
<word rank='1' count='286' prob='0.02057' cumulative='0.02057' docs='14' word-length='8.0000' coherence='0.0000' uniform_dist='0.1650' corpus_dist='0.0917' token-doc-diff='0.0070' exclusivity='0.9621'>rhetoric</word>
<word rank='2' count='245' prob='0.01762' cumulative='0.03819' docs='10' word-length='10.0000' coherence='-0.6922' uniform_dist='0.1386' corpus_dist='0.0786' token-doc-diff='0.0083' exclusivity='0.8985'>rhetorical</word>
<word rank='3' count='235' prob='0.01690' cumulative='0.05509' docs='19' word-length='6.0000' coherence='-1.0279' uniform_dist='0.1322' corpus_dist='0.0594' token-doc-diff='0.0009' exclusivity='0.7011'>action</word>
<word rank='4' count='123' prob='0.00885' cumulative='0.06393' docs='19' word-length='9.0000' coherence='-0.8460' uniform_dist='0.0635' corpus_dist='0.0266' token-doc-diff='0.0012' exclusivity='0.4754'>political</word>
<word rank='5' count='123' prob='0.00885' cumulative='0.07278' docs='20' word-length='9.0000' coherence='-0.8640' uniform_dist='0.0635' corpus_dist='0.0255' token-doc-diff='0.0016' exclusivity='0.5671'>attention</word>
<word rank='6' count='104' prob='0.00748' cumulative='0.08026' docs='11' word-length='8.0000' coherence='-1.9403' uniform_dist='0.0524' corpus_dist='0.0320' token-doc-diff='0.0000' exclusivity='0.8285'>foucault</word>
<word rank='7' count='98' prob='0.00705' cumulative='0.08731' docs='18' word-length='7.0000' coherence='-0.5460' uniform_dist='0.0490' corpus_dist='0.0110' token-doc-diff='0.0023' exclusivity='0.1516'>digital</word>
<word rank='8' count='79' prob='0.00568' cumulative='0.09299' docs='6' word-length='7.0000' coherence='-6.7250' uniform_dist='0.0383' corpus_dist='0.0217' token-doc-diff='0.0005' exclusivity='0.8258'>reviews</word>
<word rank='9' count='78' prob='0.00561' cumulative='0.09860' docs='6' word-length='5.0000' coherence='-2.9320' uniform_dist='0.0377' corpus_dist='0.0197' token-doc-diff='0.0004' exclusivity='0.3762'>genre</word>
<word rank='10' count='77' prob='0.00554' cumulative='0.10414' docs='3' word-length='6.0000' coherence='-6.9659' uniform_dist='0.0371' corpus_dist='0.0252' token-doc-diff='0.0028' exclusivity='0.9951'>arendt</word>
<word rank='11' count='77' prob='0.00554' cumulative='0.10967' docs='19' word-length='5.0000' coherence='-0.7870' uniform_dist='0.0371' corpus_dist='0.0110' token-doc-diff='0.0049' exclusivity='0.2605'>power</word>
<word rank='12' count='71' prob='0.00511' cumulative='0.11478' docs='14' word-length='6.0000' coherence='-1.2504' uniform_dist='0.0338' corpus_dist='0.0094' token-doc-diff='0.0022' exclusivity='0.1575'>public</word>
<word rank='13' count='70' prob='0.00503' cumulative='0.11981' docs='6' word-length='7.0000' coherence='-6.1198' uniform_dist='0.0333' corpus_dist='0.0121' token-doc-diff='0.0002' exclusivity='0.2028'>chatbot</word>
<word rank='14' count='69' prob='0.00496' cumulative='0.12478' docs='4' word-length='8.0000' coherence='-6.9659' uniform_dist='0.0327' corpus_dist='0.0225' token-doc-diff='0.0011' exclusivity='0.9660'>stiegler</word>
<word rank='15' count='64' prob='0.00460' cumulative='0.12938' docs='11' word-length='3.0000' coherence='-6.1198' uniform_dist='0.0300' corpus_dist='0.0150' token-doc-diff='0.0011' exclusivity='0.5740'>web</word>
<word rank='16' count='62' prob='0.00446' cumulative='0.13384' docs='9' word-length='11.0000' coherence='-6.1198' uniform_dist='0.0289' corpus_dist='0.0121' token-doc-diff='0.0004' exclusivity='0.2534'>algorithmic</word>
<word rank='17' count='62' prob='0.00446' cumulative='0.13830' docs='10' word-length='10.0000' coherence='-6.1198' uniform_dist='0.0289' corpus_dist='0.0046' token-doc-diff='0.0008' exclusivity='0.0455'>generative</word>
<word rank='18' count='60' prob='0.00431' cumulative='0.14261' docs='11' word-length='10.0000' coherence='-6.1198' uniform_dist='0.0279' corpus_dist='0.0065' token-doc-diff='0.0014' exclusivity='0.1265'>algorithms</word>
<word rank='19' count='56' prob='0.00403' cumulative='0.14664' docs='5' word-length='10.0000' coherence='-6.1198' uniform_dist='0.0257' corpus_dist='0.0159' token-doc-diff='0.0001' exclusivity='0.6564'>stochastic</word>
<word rank='20' count='55' prob='0.00396' cumulative='0.15059' docs='8' word-length='11.0000' coherence='-6.1198' uniform_dist='0.0252' corpus_dist='0.0161' token-doc-diff='0.0004' exclusivity='0.8136'>circulation</word>
</topic>
<topic id='5' tokens='34925.0000' document_entropy='2.8715' word-length='8.4500' coherence='-119.0287' uniform_dist='4.9162' corpus_dist='2.2807' eff_num_words='346.4728' token-doc-diff='0.0169' rank_1_docs='0.0825' allocation_ratio='0.1667' allocation_count='0.0928' exclusivity='0.3516'>
<word rank='1' count='641' prob='0.01835' cumulative='0.01835' docs='25' word-length='7.0000' coherence='0.0000' uniform_dist='0.1451' corpus_dist='0.0615' token-doc-diff='0.0053' exclusivity='0.7450'>service</word>
<word rank='2' count='636' prob='0.01821' cumulative='0.03656' docs='36' word-length='22.0000' coherence='-0.1278' uniform_dist='0.1438' corpus_dist='-0.0027' token-doc-diff='0.0016' exclusivity='0.0621'>artificialintelligence</word>
<word rank='3' count='468' prob='0.01340' cumulative='0.04996' docs='25' word-length='9.0000' coherence='-0.7499' uniform_dist='0.1017' corpus_dist='0.0477' token-doc-diff='0.0015' exclusivity='0.8529'>employees</word>
<word rank='4' count='395' prob='0.01131' cumulative='0.06127' docs='32' word-length='5.0000' coherence='-0.6534' uniform_dist='0.0839' corpus_dist='0.0174' token-doc-diff='0.0000' exclusivity='0.2197'>model</word>
<word rank='5' count='394' prob='0.01128' cumulative='0.07256' docs='33' word-length='5.0000' coherence='-0.5105' uniform_dist='0.0837' corpus_dist='0.0168' token-doc-diff='0.0000' exclusivity='0.1553'>study</word>
<word rank='6' count='368' prob='0.01054' cumulative='0.08309' docs='29' word-length='9.0000' coherence='-0.6534' uniform_dist='0.0775' corpus_dist='0.0327' token-doc-diff='0.0000' exclusivity='0.6829'>perceived</word>
<word rank='7' count='319' prob='0.00913' cumulative='0.09223' docs='30' word-length='10.0000' coherence='-0.5750' uniform_dist='0.0658' corpus_dist='0.0269' token-doc-diff='0.0001' exclusivity='0.5857'>perception</word>
<word rank='8' count='292' prob='0.00836' cumulative='0.10059' docs='26' word-length='8.0000' coherence='-0.7334' uniform_dist='0.0595' corpus_dist='0.0249' token-doc-diff='0.0000' exclusivity='0.4033'>adoption</word>
<word rank='9' count='270' prob='0.00773' cumulative='0.10832' docs='23' word-length='5.0000' coherence='-1.0207' uniform_dist='0.0544' corpus_dist='0.0178' token-doc-diff='0.0000' exclusivity='0.2063'>trust</word>
<word rank='10' count='256' prob='0.00733' cumulative='0.11565' docs='28' word-length='6.0000' coherence='-0.8203' uniform_dist='0.0512' corpus_dist='0.0176' token-doc-diff='0.0004' exclusivity='0.3005'>effect</word>
<word rank='11' count='236' prob='0.00676' cumulative='0.12241' docs='17' word-length='3.0000' coherence='-1.3849' uniform_dist='0.0467' corpus_dist='0.0195' token-doc-diff='0.0001' exclusivity='0.3106'>job</word>
<word rank='12' count='223' prob='0.00639' cumulative='0.12879' docs='25' word-length='8.0000' coherence='-0.6353' uniform_dist='0.0437' corpus_dist='0.0042' token-doc-diff='0.0005' exclusivity='0.0941'>research</word>
<word rank='13' count='222' prob='0.00636' cumulative='0.13515' docs='13' word-length='14.0000' coherence='-1.6077' uniform_dist='0.0435' corpus_dist='0.0219' token-doc-diff='0.0005' exclusivity='0.8251'>organizational</word>
<word rank='14' count='217' prob='0.00621' cumulative='0.14136' docs='24' word-length='6.0000' coherence='-0.7334' uniform_dist='0.0424' corpus_dist='0.0097' token-doc-diff='0.0004' exclusivity='0.1756'>impact</word>
<word rank='15' count='197' prob='0.00564' cumulative='0.14700' docs='18' word-length='8.0000' coherence='-1.0400' uniform_dist='0.0379' corpus_dist='0.0143' token-doc-diff='0.0000' exclusivity='0.2362'>strategy</word>
<word rank='16' count='192' prob='0.00550' cumulative='0.15250' docs='27' word-length='12.0000' coherence='-0.8203' uniform_dist='0.0368' corpus_dist='0.0093' token-doc-diff='0.0014' exclusivity='0.1126'>participants</word>
<word rank='17' count='191' prob='0.00547' cumulative='0.15797' docs='17' word-length='6.0000' coherence='-1.4444' uniform_dist='0.0366' corpus_dist='0.0128' token-doc-diff='0.0000' exclusivity='0.2653'>robots</word>
<word rank='18' count='185' prob='0.00530' cumulative='0.16326' docs='26' word-length='7.0000' coherence='-0.8862' uniform_dist='0.0353' corpus_dist='0.0076' token-doc-diff='0.0013' exclusivity='0.1982'>results</word>
<word rank='19' count='168' prob='0.00481' cumulative='0.16807' docs='20' word-length='8.0000' coherence='-0.8322' uniform_dist='0.0316' corpus_dist='0.0130' token-doc-diff='0.0005' exclusivity='0.3394'>inﬂuence</word>
<word rank='20' count='165' prob='0.00472' cumulative='0.17280' docs='30' word-length='11.0000' coherence='-0.6353' uniform_dist='0.0309' corpus_dist='0.0118' token-doc-diff='0.0031' exclusivity='0.2615'>perceptions</word>
</topic>
<topic id='6' tokens='19086.0000' document_entropy='3.1451' word-length='7.4000' coherence='-159.8335' uniform_dist='5.0213' corpus_dist='2.9702' eff_num_words='115.6305' token-doc-diff='0.0463' rank_1_docs='0.1047' allocation_ratio='0.0313' allocation_count='0.0814' exclusivity='0.3827'>
<word rank='1' count='1498' prob='0.07849' cumulative='0.07849' docs='52' word-length='6.0000' coherence='0.0000' uniform_dist='0.7346' corpus_dist='0.2817' token-doc-diff='0.0291' exclusivity='0.6328'>design</word>
<word rank='2' count='287' prob='0.01504' cumulative='0.09352' docs='35' word-length='6.0000' coherence='-0.6188' uniform_dist='0.1159' corpus_dist='0.0385' token-doc-diff='0.0001' exclusivity='0.2264'>images</word>
<word rank='3' count='286' prob='0.01498' cumulative='0.10851' docs='36' word-length='12.0000' coherence='-0.5171' uniform_dist='0.1154' corpus_dist='0.0550' token-doc-diff='0.0002' exclusivity='0.6531'>architecture</word>
<word rank='4' count='272' prob='0.01425' cumulative='0.12276' docs='30' word-length='13.0000' coherence='-0.6929' uniform_dist='0.1091' corpus_dist='0.0593' token-doc-diff='0.0000' exclusivity='0.8961'>architectural</word>
<word rank='5' count='250' prob='0.01310' cumulative='0.13586' docs='39' word-length='7.0000' coherence='-0.4565' uniform_dist='0.0991' corpus_dist='0.0246' token-doc-diff='0.0010' exclusivity='0.2209'>process</word>
<word rank='6' count='240' prob='0.01257' cumulative='0.14843' docs='32' word-length='8.0000' coherence='-0.6188' uniform_dist='0.0947' corpus_dist='0.0362' token-doc-diff='0.0003' exclusivity='0.5717'>creative</word>
<word rank='7' count='238' prob='0.01247' cumulative='0.16090' docs='31' word-length='3.0000' coherence='-0.6929' uniform_dist='0.0938' corpus_dist='0.0332' token-doc-diff='0.0002' exclusivity='0.2516'>art</word>
<word rank='8' count='216' prob='0.01132' cumulative='0.17222' docs='28' word-length='9.0000' coherence='-0.7321' uniform_dist='0.0840' corpus_dist='0.0428' token-doc-diff='0.0002' exclusivity='0.7892'>designers</word>
<word rank='9' count='175' prob='0.00917' cumulative='0.18139' docs='7' word-length='5.0000' coherence='-2.3394' uniform_dist='0.0661' corpus_dist='0.0226' token-doc-diff='0.0028' exclusivity='0.2777'>genai</word>
<word rank='10' count='173' prob='0.00906' cumulative='0.19045' docs='22' word-length='6.0000' coherence='-0.9551' uniform_dist='0.0653' corpus_dist='0.0224' token-doc-diff='0.0001' exclusivity='0.2561'>figure</word>
<word rank='11' count='139' prob='0.00728' cumulative='0.19774' docs='26' word-length='9.0000' coherence='-0.9063' uniform_dist='0.0508' corpus_dist='0.0157' token-doc-diff='0.0014' exclusivity='0.2101'>generated</word>
<word rank='12' count='135' prob='0.00707' cumulative='0.20481' docs='21' word-length='10.0000' coherence='-1.2426' uniform_dist='0.0492' corpus_dist='0.0274' token-doc-diff='0.0005' exclusivity='0.7259'>midjourney</word>
<word rank='13' count='130' prob='0.00681' cumulative='0.21162' docs='26' word-length='10.0000' coherence='-0.9551' uniform_dist='0.0471' corpus_dist='0.0099' token-doc-diff='0.0017' exclusivity='0.0719'>generative</word>
<word rank='14' count='126' prob='0.00660' cumulative='0.21822' docs='24' word-length='5.0000' coherence='-0.8599' uniform_dist='0.0454' corpus_dist='0.0125' token-doc-diff='0.0013' exclusivity='0.1101'>image</word>
<word rank='15' count='126' prob='0.00660' cumulative='0.22482' docs='25' word-length='10.0000' coherence='-0.9063' uniform_dist='0.0454' corpus_dist='0.0162' token-doc-diff='0.0016' exclusivity='0.2922'>creativity</word>
<word rank='16' count='106' prob='0.00555' cumulative='0.23038' docs='14' word-length='7.0000' coherence='-1.6077' uniform_dist='0.0373' corpus_dist='0.0153' token-doc-diff='0.0001' exclusivity='0.3355'>product</word>
<word rank='17' count='103' prob='0.00540' cumulative='0.23577' docs='23' word-length='5.0000' coherence='-0.9551' uniform_dist='0.0361' corpus_dist='0.0066' token-doc-diff='0.0020' exclusivity='0.1076'>tools</word>
<word rank='18' count='99' prob='0.00519' cumulative='0.24096' docs='11' word-length='4.0000' coherence='-2.1164' uniform_dist='0.0345' corpus_dist='0.0155' token-doc-diff='0.0000' exclusivity='0.4328'>book</word>
<word rank='19' count='97' prob='0.00508' cumulative='0.24604' docs='26' word-length='6.0000' coherence='-0.8154' uniform_dist='0.0337' corpus_dist='0.0141' token-doc-diff='0.0032' exclusivity='0.3208'>visual</word>
<word rank='20' count='90' prob='0.00472' cumulative='0.25076' docs='16' word-length='7.0000' coherence='-1.3855' uniform_dist='0.0309' corpus_dist='0.0112' token-doc-diff='0.0007' exclusivity='0.2704'>dataset</word>
</topic>
<topic id='7' tokens='45216.0000' document_entropy='3.8864' word-length='8.6500' coherence='-106.7487' uniform_dist='5.3699' corpus_dist='2.1737' eff_num_words='132.5127' token-doc-diff='0.0278' rank_1_docs='0.1090' allocation_ratio='0.0625' allocation_count='0.0897' exclusivity='0.3182'>
<word rank='1' count='1951' prob='0.04315' cumulative='0.04315' docs='100' word-length='8.0000' coherence='0.0000' uniform_dist='0.3780' corpus_dist='0.1308' token-doc-diff='0.0047' exclusivity='0.5139'>students</word>
<word rank='2' count='1654' prob='0.03658' cumulative='0.07973' docs='93' word-length='8.0000' coherence='-0.2613' uniform_dist='0.3144' corpus_dist='0.0969' token-doc-diff='0.0030' exclusivity='0.3917'>learning</word>
<word rank='3' count='1224' prob='0.02707' cumulative='0.10680' docs='92' word-length='9.0000' coherence='-0.2231' uniform_dist='0.2245' corpus_dist='0.0777' token-doc-diff='0.0005' exclusivity='0.5143'>education</word>
<word rank='4' count='981' prob='0.02170' cumulative='0.12849' docs='88' word-length='22.0000' coherence='-0.3130' uniform_dist='0.1752' corpus_dist='0.0006' token-doc-diff='0.0000' exclusivity='0.0749'>artificialintelligence</word>
<word rank='5' count='940' prob='0.02079' cumulative='0.14928' docs='81' word-length='5.0000' coherence='-0.3737' uniform_dist='0.1670' corpus_dist='0.0534' token-doc-diff='0.0000' exclusivity='0.4381'>tools</word>
<word rank='6' count='791' prob='0.01749' cumulative='0.16678' docs='71' word-length='8.0000' coherence='-0.3894' uniform_dist='0.1375' corpus_dist='0.0543' token-doc-diff='0.0000' exclusivity='0.5917'>teaching</word>
<word rank='7' count='778' prob='0.01721' cumulative='0.18398' docs='21' word-length='5.0000' coherence='-1.7593' uniform_dist='0.1349' corpus_dist='0.0533' token-doc-diff='0.0059' exclusivity='0.5507'>genai</word>
<word rank='8' count='761' prob='0.01683' cumulative='0.20081' docs='65' word-length='8.0000' coherence='-0.5107' uniform_dist='0.1316' corpus_dist='0.0539' token-doc-diff='0.0000' exclusivity='0.6896'>teachers</word>
<word rank='9' count='724' prob='0.01601' cumulative='0.21683' docs='57' word-length='7.0000' coherence='-0.6732' uniform_dist='0.1244' corpus_dist='0.0446' token-doc-diff='0.0002' exclusivity='0.4049'>english</word>
<word rank='10' count='590' prob='0.01305' cumulative='0.22987' docs='76' word-length='8.0000' coherence='-0.4154' uniform_dist='0.0987' corpus_dist='0.0211' token-doc-diff='0.0007' exclusivity='0.1150'>language</word>
<word rank='11' count='406' prob='0.00898' cumulative='0.23885' docs='48' word-length='12.0000' coherence='-0.8438' uniform_dist='0.0646' corpus_dist='0.0196' token-doc-diff='0.0002' exclusivity='0.1862'>participants</word>
<word rank='12' count='388' prob='0.00858' cumulative='0.24743' docs='51' word-length='10.0000' coherence='-0.7374' uniform_dist='0.0613' corpus_dist='0.0145' token-doc-diff='0.0005' exclusivity='0.0957'>generative</word>
<word rank='13' count='387' prob='0.00856' cumulative='0.25599' docs='64' word-length='11.0000' coherence='-0.5252' uniform_dist='0.0611' corpus_dist='0.0242' token-doc-diff='0.0016' exclusivity='0.4897'>educational</word>
<word rank='14' count='369' prob='0.00816' cumulative='0.26415' docs='58' word-length='7.0000' coherence='-0.6613' uniform_dist='0.0579' corpus_dist='0.0241' token-doc-diff='0.0012' exclusivity='0.4747'>student</word>
<word rank='15' count='314' prob='0.00694' cumulative='0.27110' docs='62' word-length='5.0000' coherence='-0.5620' uniform_dist='0.0482' corpus_dist='0.0070' token-doc-diff='0.0024' exclusivity='0.0968'>study</word>
<word rank='16' count='299' prob='0.00661' cumulative='0.27771' docs='44' word-length='8.0000' coherence='-0.9940' uniform_dist='0.0455' corpus_dist='0.0170' token-doc-diff='0.0007' exclusivity='0.2755'>chatbots</word>
<word rank='17' count='292' prob='0.00646' cumulative='0.28417' docs='58' word-length='7.0000' coherence='-0.7132' uniform_dist='0.0443' corpus_dist='0.0106' token-doc-diff='0.0022' exclusivity='0.1104'>content</word>
<word rank='18' count='292' prob='0.00646' cumulative='0.29063' docs='56' word-length='10.0000' coherence='-0.5977' uniform_dist='0.0443' corpus_dist='0.0052' token-doc-diff='0.0020' exclusivity='0.1400'>technology</word>
<word rank='19' count='284' prob='0.00628' cumulative='0.29691' docs='47' word-length='8.0000' coherence='-0.7764' uniform_dist='0.0429' corpus_dist='0.0128' token-doc-diff='0.0011' exclusivity='0.1498'>learners</word>
<word rank='20' count='283' prob='0.00626' cumulative='0.30317' docs='44' word-length='7.0000' coherence='-0.8948' uniform_dist='0.0427' corpus_dist='0.0071' token-doc-diff='0.0009' exclusivity='0.0598'>chatgpt</word>
</topic>
<topic id='8' tokens='13619.0000' document_entropy='2.2433' word-length='6.5000' coherence='-255.1347' uniform_dist='4.5207' corpus_dist='3.4363' eff_num_words='361.8636' token-doc-diff='0.0292' rank_1_docs='0.1333' allocation_ratio='0.0000' allocation_count='0.1111' exclusivity='0.5200'>
<word rank='1' count='403' prob='0.02959' cumulative='0.02959' docs='22' word-length='4.0000' coherence='0.0000' uniform_dist='0.2481' corpus_dist='0.0643' token-doc-diff='0.0030' exclusivity='0.3496'>data</word>
<word rank='2' count='200' prob='0.01469' cumulative='0.04428' docs='11' word-length='4.0000' coherence='-1.0106' uniform_dist='0.1128' corpus_dist='0.0491' token-doc-diff='0.0015' exclusivity='0.6660'>bias</word>
<word rank='3' count='178' prob='0.01307' cumulative='0.05735' docs='14' word-length='8.0000' coherence='-1.0106' uniform_dist='0.0989' corpus_dist='0.0444' token-doc-diff='0.0000' exclusivity='0.4669'>fairness</word>
<word rank='4' count='174' prob='0.01278' cumulative='0.07012' docs='7' word-length='5.0000' coherence='-1.9403' uniform_dist='0.0964' corpus_dist='0.0525' token-doc-diff='0.0034' exclusivity='0.7110'>urban</word>
<word rank='5' count='139' prob='0.01021' cumulative='0.08033' docs='9' word-length='4.0000' coherence='-1.5370' uniform_dist='0.0747' corpus_dist='0.0422' token-doc-diff='0.0004' exclusivity='0.7429'>city</word>
<word rank='6' count='124' prob='0.00910' cumulative='0.08943' docs='8' word-length='6.0000' coherence='-1.2977' uniform_dist='0.0656' corpus_dist='0.0391' token-doc-diff='0.0004' exclusivity='0.7843'>cities</word>
<word rank='7' count='115' prob='0.00844' cumulative='0.09788' docs='8' word-length='5.0000' coherence='-1.6994' uniform_dist='0.0602' corpus_dist='0.0246' token-doc-diff='0.0002' exclusivity='0.5221'>place</word>
<word rank='8' count='107' prob='0.00786' cumulative='0.10573' docs='6' word-length='10.0000' coherence='-6.5246' uniform_dist='0.0554' corpus_dist='0.0340' token-doc-diff='0.0007' exclusivity='0.9609'>journalism</word>
<word rank='9' count='88' prob='0.00646' cumulative='0.11220' docs='7' word-length='8.0000' coherence='-2.0680' uniform_dist='0.0443' corpus_dist='0.0194' token-doc-diff='0.0000' exclusivity='0.4763'>identity</word>
<word rank='10' count='82' prob='0.00602' cumulative='0.11822' docs='9' word-length='6.0000' coherence='-1.9347' uniform_dist='0.0409' corpus_dist='0.0224' token-doc-diff='0.0004' exclusivity='0.5072'>crisis</word>
<word rank='11' count='80' prob='0.00587' cumulative='0.12409' docs='13' word-length='6.0000' coherence='-1.0942' uniform_dist='0.0397' corpus_dist='0.0117' token-doc-diff='0.0028' exclusivity='0.1395'>values</word>
<word rank='12' count='79' prob='0.00580' cumulative='0.12989' docs='5' word-length='10.0000' coherence='-2.0680' uniform_dist='0.0392' corpus_dist='0.0210' token-doc-diff='0.0003' exclusivity='0.6974'>similarity</word>
<word rank='13' count='73' prob='0.00536' cumulative='0.13525' docs='11' word-length='5.0000' coherence='-1.1438' uniform_dist='0.0358' corpus_dist='0.0180' token-doc-diff='0.0019' exclusivity='0.6683'>smart</word>
<word rank='14' count='71' prob='0.00521' cumulative='0.14047' docs='4' word-length='6.0000' coherence='-6.7250' uniform_dist='0.0347' corpus_dist='0.0209' token-doc-diff='0.0005' exclusivity='0.7252'>latour</word>
<word rank='15' count='69' prob='0.00507' cumulative='0.14553' docs='8' word-length='7.0000' coherence='-1.3765' uniform_dist='0.0335' corpus_dist='0.0109' token-doc-diff='0.0005' exclusivity='0.2376'>quality</word>
<word rank='16' count='68' prob='0.00499' cumulative='0.15053' docs='12' word-length='8.0000' coherence='-1.5989' uniform_dist='0.0330' corpus_dist='0.0118' token-doc-diff='0.0031' exclusivity='0.1781'>decision</word>
<word rank='17' count='67' prob='0.00492' cumulative='0.15544' docs='3' word-length='8.0000' coherence='-6.2737' uniform_dist='0.0324' corpus_dist='0.0225' token-doc-diff='0.0010' exclusivity='0.9944'>urbanism</word>
<word rank='18' count='65' prob='0.00477' cumulative='0.16022' docs='12' word-length='6.0000' coherence='-1.3765' uniform_dist='0.0313' corpus_dist='0.0076' token-doc-diff='0.0034' exclusivity='0.1875'>nature</word>
<word rank='19' count='63' prob='0.00463' cumulative='0.16484' docs='8' word-length='8.0000' coherence='-5.7155' uniform_dist='0.0302' corpus_dist='0.0125' token-doc-diff='0.0008' exclusivity='0.2781'>datasets</word>
<word rank='20' count='60' prob='0.00441' cumulative='0.16925' docs='13' word-length='6.0000' coherence='-1.7808' uniform_dist='0.0285' corpus_dist='0.0039' token-doc-diff='0.0049' exclusivity='0.1056'>models</word>
</topic>
<topic id='9' tokens='15583.0000' document_entropy='2.9257' word-length='8.1500' coherence='-266.1009' uniform_dist='4.5766' corpus_dist='3.2689' eff_num_words='436.8646' token-doc-diff='0.0145' rank_1_docs='0.1169' allocation_ratio='0.0476' allocation_count='0.0779' exclusivity='0.4363'>
<word rank='1' count='271' prob='0.01739' cumulative='0.01739' docs='32' word-length='8.0000' coherence='0.0000' uniform_dist='0.1366' corpus_dist='0.0331' token-doc-diff='0.0005' exclusivity='0.1420'>language</word>
<word rank='2' count='247' prob='0.01585' cumulative='0.03324' docs='35' word-length='13.0000' coherence='-0.2875' uniform_dist='0.1230' corpus_dist='0.0494' token-doc-diff='0.0000' exclusivity='0.5692'>communication</word>
<word rank='3' count='188' prob='0.01206' cumulative='0.04531' docs='33' word-length='5.0000' coherence='-0.4197' uniform_dist='0.0903' corpus_dist='0.0286' token-doc-diff='0.0004' exclusivity='0.1963'>users</word>
<word rank='4' count='165' prob='0.01059' cumulative='0.05589' docs='22' word-length='7.0000' coherence='-0.9898' uniform_dist='0.0779' corpus_dist='0.0220' token-doc-diff='0.0000' exclusivity='0.1730'>science</word>
<word rank='5' count='163' prob='0.01046' cumulative='0.06635' docs='22' word-length='6.0000' coherence='-1.0106' uniform_dist='0.0768' corpus_dist='0.0324' token-doc-diff='0.0000' exclusivity='0.4333'>agents</word>
<word rank='6' count='146' prob='0.00937' cumulative='0.07572' docs='26' word-length='14.0000' coherence='-0.6629' uniform_dist='0.0678' corpus_dist='0.0359' token-doc-diff='0.0004' exclusivity='0.6926'>conversational</word>
<word rank='7' count='134' prob='0.00860' cumulative='0.08432' docs='16' word-length='4.0000' coherence='-1.1438' uniform_dist='0.0615' corpus_dist='0.0241' token-doc-diff='0.0002' exclusivity='0.3283'>user</word>
<word rank='8' count='114' prob='0.00732' cumulative='0.09164' docs='6' word-length='9.0000' coherence='-2.7603' uniform_dist='0.0511' corpus_dist='0.0317' token-doc-diff='0.0035' exclusivity='0.9744'>testimony</word>
<word rank='9' count='111' prob='0.00712' cumulative='0.09876' docs='28' word-length='12.0000' coherence='-0.5750' uniform_dist='0.0496' corpus_dist='0.0190' token-doc-diff='0.0024' exclusivity='0.4608'>interactions</word>
<word rank='10' count='94' prob='0.00603' cumulative='0.10479' docs='21' word-length='5.0000' coherence='-0.9002' uniform_dist='0.0410' corpus_dist='0.0124' token-doc-diff='0.0012' exclusivity='0.1510'>trust</word>
<word rank='11' count='93' prob='0.00597' cumulative='0.11076' docs='8' word-length='13.0000' coherence='-6.1198' uniform_dist='0.0405' corpus_dist='0.0258' token-doc-diff='0.0009' exclusivity='0.9235'>intercultural</word>
<word rank='12' count='92' prob='0.00590' cumulative='0.11667' docs='7' word-length='12.0000' coherence='-6.1198' uniform_dist='0.0400' corpus_dist='0.0262' token-doc-diff='0.0014' exclusivity='0.9954'>older_adults</word>
<word rank='13' count='91' prob='0.00584' cumulative='0.12251' docs='20' word-length='5.0000' coherence='-1.9347' uniform_dist='0.0395' corpus_dist='0.0035' token-doc-diff='0.0010' exclusivity='0.0712'>human</word>
<word rank='14' count='87' prob='0.00558' cumulative='0.12809' docs='11' word-length='8.0000' coherence='-6.2737' uniform_dist='0.0375' corpus_dist='0.0160' token-doc-diff='0.0001' exclusivity='0.3716'>dialogue</word>
<word rank='15' count='85' prob='0.00545' cumulative='0.13354' docs='13' word-length='9.0000' coherence='-1.9347' uniform_dist='0.0365' corpus_dist='0.0122' token-doc-diff='0.0000' exclusivity='0.2307'>responses</word>
<word rank='16' count='84' prob='0.00539' cumulative='0.13893' docs='10' word-length='5.0000' coherence='-1.9347' uniform_dist='0.0360' corpus_dist='0.0167' token-doc-diff='0.0001' exclusivity='0.5015'>voice</word>
<word rank='17' count='84' prob='0.00539' cumulative='0.14432' docs='16' word-length='8.0000' coherence='-6.1198' uniform_dist='0.0360' corpus_dist='0.0133' token-doc-diff='0.0004' exclusivity='0.3825'>contexts</word>
<word rank='18' count='80' prob='0.00513' cumulative='0.14946' docs='6' word-length='8.0000' coherence='-6.4070' uniform_dist='0.0340' corpus_dist='0.0172' token-doc-diff='0.0012' exclusivity='0.5727'>concrete</word>
<word rank='19' count='80' prob='0.00513' cumulative='0.15459' docs='9' word-length='3.0000' coherence='-6.2737' uniform_dist='0.0340' corpus_dist='0.0094' token-doc-diff='0.0002' exclusivity='0.1286'>gpt</word>
<word rank='20' count='78' prob='0.00501' cumulative='0.15960' docs='16' word-length='9.0000' coherence='-1.9347' uniform_dist='0.0331' corpus_dist='0.0160' token-doc-diff='0.0006' exclusivity='0.4264'>assistant</word>
</topic>
<topic id='10' tokens='151840.0000' document_entropy='5.4541' word-length='6.3000' coherence='-77.8047' uniform_dist='4.6917' corpus_dist='1.2946' eff_num_words='530.5161' token-doc-diff='0.0208' rank_1_docs='0.0152' allocation_ratio='0.0000' allocation_count='0.0335' exclusivity='0.2348'>
<word rank='1' count='2195' prob='0.01446' cumulative='0.01446' docs='263' word-length='5.0000' coherence='0.0000' uniform_dist='0.1108' corpus_dist='0.0257' token-doc-diff='0.0039' exclusivity='0.2927'>model</word>
<word rank='2' count='2169' prob='0.01428' cumulative='0.02874' docs='267' word-length='4.0000' coherence='-0.1472' uniform_dist='0.1094' corpus_dist='0.0206' token-doc-diff='0.0035' exclusivity='0.1905'>data</word>
<word rank='3' count='1816' prob='0.01196' cumulative='0.04070' docs='247' word-length='6.0000' coherence='-0.2259' uniform_dist='0.0894' corpus_dist='0.0224' token-doc-diff='0.0021' exclusivity='0.3236'>models</word>
<word rank='4' count='1463' prob='0.00964' cumulative='0.05034' docs='249' word-length='8.0000' coherence='-0.2109' uniform_dist='0.0700' corpus_dist='0.0104' token-doc-diff='0.0005' exclusivity='0.1480'>research</word>
<word rank='5' count='1439' prob='0.00948' cumulative='0.05981' docs='266' word-length='5.0000' coherence='-0.1560' uniform_dist='0.0687' corpus_dist='0.0159' token-doc-diff='0.0003' exclusivity='0.4720'>based</word>
<word rank='6' count='1371' prob='0.00903' cumulative='0.06884' docs='249' word-length='11.0000' coherence='-0.2015' uniform_dist='0.0650' corpus_dist='0.0148' token-doc-diff='0.0003' exclusivity='0.2709'>information</word>
<word rank='7' count='1253' prob='0.00825' cumulative='0.07709' docs='245' word-length='7.0000' coherence='-0.2250' uniform_dist='0.0586' corpus_dist='0.0154' token-doc-diff='0.0001' exclusivity='0.3219'>results</word>
<word rank='8' count='816' prob='0.00537' cumulative='0.08247' docs='203' word-length='8.0000' coherence='-0.4136' uniform_dist='0.0359' corpus_dist='0.0102' token-doc-diff='0.0001' exclusivity='0.3631'>training</word>
<word rank='9' count='679' prob='0.00447' cumulative='0.08694' docs='197' word-length='5.0000' coherence='-0.4482' uniform_dist='0.0290' corpus_dist='0.0025' token-doc-diff='0.0004' exclusivity='0.0642'>study</word>
<word rank='10' count='646' prob='0.00425' cumulative='0.09119' docs='194' word-length='8.0000' coherence='-0.4342' uniform_dist='0.0274' corpus_dist='0.0036' token-doc-diff='0.0005' exclusivity='0.1250'>analysis</word>
<word rank='11' count='608' prob='0.00400' cumulative='0.09520' docs='169' word-length='9.0000' coherence='-0.5728' uniform_dist='0.0256' corpus_dist='0.0034' token-doc-diff='0.0003' exclusivity='0.0835'>knowledge</word>
<word rank='12' count='594' prob='0.00391' cumulative='0.09911' docs='195' word-length='5.0000' coherence='-0.4422' uniform_dist='0.0249' corpus_dist='0.0066' token-doc-diff='0.0008' exclusivity='0.3821'>large</word>
<word rank='13' count='568' prob='0.00374' cumulative='0.10285' docs='183' word-length='6.0000' coherence='-0.5121' uniform_dist='0.0236' corpus_dist='0.0062' token-doc-diff='0.0007' exclusivity='0.2342'>number</word>
<word rank='14' count='565' prob='0.00372' cumulative='0.10657' docs='177' word-length='8.0000' coherence='-0.5400' uniform_dist='0.0235' corpus_dist='0.0013' token-doc-diff='0.0006' exclusivity='0.0338'>language</word>
<word rank='15' count='547' prob='0.00360' cumulative='0.11018' docs='188' word-length='5.0000' coherence='-0.4662' uniform_dist='0.0226' corpus_dist='0.0051' token-doc-diff='0.0009' exclusivity='0.3200'>terms</word>
<word rank='16' count='516' prob='0.00340' cumulative='0.11357' docs='191' word-length='8.0000' coherence='-0.4323' uniform_dist='0.0211' corpus_dist='0.0057' token-doc-diff='0.0012' exclusivity='0.2970'>provided</word>
<word rank='17' count='495' prob='0.00326' cumulative='0.11683' docs='187' word-length='4.0000' coherence='-0.5023' uniform_dist='0.0201' corpus_dist='0.0028' token-doc-diff='0.0013' exclusivity='0.1750'>case</word>
<word rank='18' count='493' prob='0.00325' cumulative='0.12008' docs='176' word-length='3.0000' coherence='-0.5257' uniform_dist='0.0200' corpus_dist='0.0048' token-doc-diff='0.0010' exclusivity='0.2834'>set</word>
<word rank='19' count='481' prob='0.00317' cumulative='0.12325' docs='163' word-length='7.0000' coherence='-0.6265' uniform_dist='0.0195' corpus_dist='0.0048' token-doc-diff='0.0007' exclusivity='0.2073'>methods</word>
<word rank='20' count='464' prob='0.00306' cumulative='0.12630' docs='195' word-length='4.0000' coherence='-0.4360' uniform_dist='0.0187' corpus_dist='0.0023' token-doc-diff='0.0018' exclusivity='0.1083'>time</word>
</topic>
<topic id='11' tokens='14007.0000' document_entropy='2.5567' word-length='7.4000' coherence='-377.1818' uniform_dist='4.7246' corpus_dist='3.5889' eff_num_words='136.7484' token-doc-diff='0.0673' rank_1_docs='0.0625' allocation_ratio='0.0000' allocation_count='0.0500' exclusivity='0.6615'>
<word rank='1' count='1077' prob='0.07689' cumulative='0.07689' docs='46' word-length='5.0000' coherence='0.0000' uniform_dist='0.7180' corpus_dist='0.3460' token-doc-diff='0.0139' exclusivity='0.9763'>music</word>
<word rank='2' count='149' prob='0.01064' cumulative='0.08753' docs='15' word-length='7.0000' coherence='-1.1889' uniform_dist='0.0783' corpus_dist='0.0479' token-doc-diff='0.0005' exclusivity='0.9862'>musical</word>
<word rank='3' count='138' prob='0.00985' cumulative='0.09738' docs='20' word-length='11.0000' coherence='-0.8838' uniform_dist='0.0718' corpus_dist='0.0277' token-doc-diff='0.0033' exclusivity='0.4839'>traditional</word>
<word rank='4' count='127' prob='0.00907' cumulative='0.10645' docs='6' word-length='5.0000' coherence='-2.2168' uniform_dist='0.0653' corpus_dist='0.0412' token-doc-diff='0.0012' exclusivity='0.9970'>irish</word>
<word rank='5' count='114' prob='0.00814' cumulative='0.11459' docs='1' word-length='10.0000' coherence='-7.0348' uniform_dist='0.0577' corpus_dist='0.0352' token-doc-diff='0.0088' exclusivity='0.7998'>propaganda</word>
<word rank='6' count='112' prob='0.00800' cumulative='0.12258' docs='3' word-length='5.0000' coherence='-3.1292' uniform_dist='0.0566' corpus_dist='0.0356' token-doc-diff='0.0036' exclusivity='0.9416'>ellul</word>
<word rank='7' count='104' prob='0.00742' cumulative='0.13001' docs='7' word-length='9.0000' coherence='-6.1198' uniform_dist='0.0520' corpus_dist='0.0293' token-doc-diff='0.0001' exclusivity='0.8151'>affective</word>
<word rank='8' count='96' prob='0.00685' cumulative='0.13686' docs='3' word-length='5.0000' coherence='-7.3223' uniform_dist='0.0474' corpus_dist='0.0310' token-doc-diff='0.0024' exclusivity='0.9820'>dewey</word>
<word rank='9' count='85' prob='0.00607' cumulative='0.14293' docs='7' word-length='11.0000' coherence='-5.4289' uniform_dist='0.0413' corpus_dist='0.0227' token-doc-diff='0.0000' exclusivity='0.5866'>affordances</word>
<word rank='10' count='82' prob='0.00585' cumulative='0.14878' docs='16' word-length='9.0000' coherence='-5.4289' uniform_dist='0.0396' corpus_dist='0.0199' token-doc-diff='0.0050' exclusivity='0.6147'>copyright</word>
<word rank='11' count='72' prob='0.00514' cumulative='0.15392' docs='12' word-length='4.0000' coherence='-5.4289' uniform_dist='0.0341' corpus_dist='0.0196' token-doc-diff='0.0028' exclusivity='0.6997'>song</word>
<word rank='12' count='70' prob='0.00500' cumulative='0.15892' docs='11' word-length='7.0000' coherence='-4.3390' uniform_dist='0.0330' corpus_dist='0.0173' token-doc-diff='0.0022' exclusivity='0.6724'>feeling</word>
<word rank='13' count='62' prob='0.00443' cumulative='0.16335' docs='11' word-length='7.0000' coherence='-1.4298' uniform_dist='0.0287' corpus_dist='0.0023' token-doc-diff='0.0029' exclusivity='0.0621'>systems</word>
<word rank='14' count='59' prob='0.00421' cumulative='0.16756' docs='3' word-length='5.0000' coherence='-6.2737' uniform_dist='0.0271' corpus_dist='0.0192' token-doc-diff='0.0004' exclusivity='0.9935'>sturm</word>
<word rank='15' count='53' prob='0.00378' cumulative='0.17134' docs='2' word-length='8.0000' coherence='-6.2737' uniform_dist='0.0239' corpus_dist='0.0172' token-doc-diff='0.0009' exclusivity='0.9928'>folk-rnn</word>
<word rank='16' count='53' prob='0.00378' cumulative='0.17513' docs='11' word-length='9.0000' coherence='-4.3390' uniform_dist='0.0239' corpus_dist='0.0081' token-doc-diff='0.0038' exclusivity='0.2098'>community</word>
<word rank='17' count='52' prob='0.00371' cumulative='0.17884' docs='2' word-length='4.0000' coherence='-6.2737' uniform_dist='0.0234' corpus_dist='0.0169' token-doc-diff='0.0009' exclusivity='0.9927'>suno</word>
<word rank='18' count='52' prob='0.00371' cumulative='0.18255' docs='17' word-length='6.0000' coherence='-1.2630' uniform_dist='0.0234' corpus_dist='0.0026' token-doc-diff='0.0102' exclusivity='0.0647'>system</word>
<word rank='19' count='51' prob='0.00364' cumulative='0.18619' docs='5' word-length='11.0000' coherence='-6.2737' uniform_dist='0.0229' corpus_dist='0.0098' token-doc-diff='0.0001' exclusivity='0.3228'>communities</word>
<word rank='20' count='49' prob='0.00350' cumulative='0.18969' docs='11' word-length='10.0000' coherence='-1.6302' uniform_dist='0.0219' corpus_dist='0.0028' token-doc-diff='0.0043' exclusivity='0.0357'>generative</word>
</topic>
<topic id='12' tokens='11753.0000' document_entropy='2.5275' word-length='8.8000' coherence='-232.5081' uniform_dist='4.7363' corpus_dist='3.4370' eff_num_words='407.5069' token-doc-diff='0.0394' rank_1_docs='0.1304' allocation_ratio='0.0625' allocation_count='0.0652' exclusivity='0.4874'>
<word rank='1' count='210' prob='0.01787' cumulative='0.01787' docs='14' word-length='5.0000' coherence='0.0000' uniform_dist='0.1408' corpus_dist='0.0554' token-doc-diff='0.0025' exclusivity='0.3043'>moral</word>
<word rank='2' count='150' prob='0.01276' cumulative='0.03063' docs='22' word-length='7.0000' coherence='-0.4413' uniform_dist='0.0963' corpus_dist='0.0348' token-doc-diff='0.0010' exclusivity='0.3947'>problem</word>
<word rank='3' count='138' prob='0.01174' cumulative='0.04237' docs='4' word-length='12.0000' coherence='-2.6269' uniform_dist='0.0876' corpus_dist='0.0499' token-doc-diff='0.0079' exclusivity='0.7933'>disagreement</word>
<word rank='4' count='133' prob='0.01132' cumulative='0.05369' docs='3' word-length='7.0000' coherence='-2.6269' uniform_dist='0.0840' corpus_dist='0.0534' token-doc-diff='0.0096' exclusivity='0.9956'>regress</word>
<word rank='5' count='129' prob='0.01098' cumulative='0.06466' docs='13' word-length='8.0000' coherence='-1.3765' uniform_dist='0.0811' corpus_dist='0.0351' token-doc-diff='0.0000' exclusivity='0.4162'>strategy</word>
<word rank='6' count='121' prob='0.01030' cumulative='0.07496' docs='16' word-length='8.0000' coherence='-0.6922' uniform_dist='0.0754' corpus_dist='0.0317' token-doc-diff='0.0003' exclusivity='0.3600'>decision</word>
<word rank='7' count='113' prob='0.00961' cumulative='0.08457' docs='18' word-length='5.0000' coherence='-1.0899' uniform_dist='0.0698' corpus_dist='0.0227' token-doc-diff='0.0013' exclusivity='0.3864'>point</word>
<word rank='8' count='103' prob='0.00876' cumulative='0.09334' docs='8' word-length='6.0000' coherence='-1.3838' uniform_dist='0.0628' corpus_dist='0.0302' token-doc-diff='0.0006' exclusivity='0.5183'>belief</word>
<word rank='9' count='100' prob='0.00851' cumulative='0.10185' docs='11' word-length='11.0000' coherence='-1.3765' uniform_dist='0.0607' corpus_dist='0.0314' token-doc-diff='0.0000' exclusivity='0.6512'>uncertainty</word>
<word rank='10' count='97' prob='0.00825' cumulative='0.11010' docs='17' word-length='4.0000' coherence='-1.3765' uniform_dist='0.0587' corpus_dist='0.0207' token-doc-diff='0.0018' exclusivity='0.3377'>good</word>
<word rank='11' count='96' prob='0.00817' cumulative='0.11827' docs='14' word-length='9.0000' coherence='-0.8256' uniform_dist='0.0580' corpus_dist='0.0217' token-doc-diff='0.0006' exclusivity='0.2535'>algorithm</word>
<word rank='12' count='86' prob='0.00732' cumulative='0.12558' docs='3' word-length='8.0000' coherence='-3.0785' uniform_dist='0.0511' corpus_dist='0.0334' token-doc-diff='0.0040' exclusivity='0.8964'>stopping</word>
<word rank='13' count='82' prob='0.00698' cumulative='0.13256' docs='10' word-length='6.0000' coherence='-1.3765' uniform_dist='0.0484' corpus_dist='0.0082' token-doc-diff='0.0001' exclusivity='0.0532'>design</word>
<word rank='14' count='80' prob='0.00681' cumulative='0.13937' docs='12' word-length='6.0000' coherence='-1.0899' uniform_dist='0.0471' corpus_dist='0.0146' token-doc-diff='0.0006' exclusivity='0.1585'>values</word>
<word rank='15' count='65' prob='0.00553' cumulative='0.14490' docs='14' word-length='9.0000' coherence='-1.3765' uniform_dist='0.0371' corpus_dist='0.0141' token-doc-diff='0.0027' exclusivity='0.3523'>decisions</word>
<word rank='16' count='56' prob='0.00476' cumulative='0.14966' docs='8' word-length='8.0000' coherence='-1.3838' uniform_dist='0.0312' corpus_dist='0.0134' token-doc-diff='0.0003' exclusivity='0.3765'>expected</word>
<word rank='17' count='54' prob='0.00459' cumulative='0.15426' docs='9' word-length='8.0000' coherence='-1.3765' uniform_dist='0.0300' corpus_dist='0.0121' token-doc-diff='0.0008' exclusivity='0.3273'>theories</word>
<word rank='18' count='53' prob='0.00451' cumulative='0.15877' docs='9' word-length='7.0000' coherence='-1.6994' uniform_dist='0.0293' corpus_dist='0.0140' token-doc-diff='0.0008' exclusivity='0.2851'>morally</word>
<word rank='19' count='52' prob='0.00442' cumulative='0.16319' docs='8' word-length='13.0000' coherence='-5.4289' uniform_dist='0.0287' corpus_dist='0.0182' token-doc-diff='0.0005' exclusivity='0.8938'>justification</word>
<word rank='20' count='50' prob='0.00425' cumulative='0.16745' docs='1' word-length='29.0000' coherence='-6.4070' uniform_dist='0.0274' corpus_dist='0.0201' token-doc-diff='0.0039' exclusivity='0.9935'>artificialintelligence-design</word>
</topic>
<topic id='13' tokens='17964.0000' document_entropy='3.2915' word-length='9.1500' coherence='-165.1340' uniform_dist='4.8429' corpus_dist='3.0280' eff_num_words='252.7715' token-doc-diff='0.0178' rank_1_docs='0.0678' allocation_ratio='0.0000' allocation_count='0.0678' exclusivity='0.4694'>
<word rank='1' count='604' prob='0.03362' cumulative='0.03362' docs='51' word-length='13.0000' coherence='0.0000' uniform_dist='0.2862' corpus_dist='0.1412' token-doc-diff='0.0064' exclusivity='0.9300'>consciousness</word>
<word rank='2' count='495' prob='0.02756' cumulative='0.06118' docs='53' word-length='12.0000' coherence='-0.4053' uniform_dist='0.2291' corpus_dist='0.0806' token-doc-diff='0.0024' exclusivity='0.3757'>intelligence</word>
<word rank='3' count='216' prob='0.01202' cumulative='0.07320' docs='46' word-length='4.0000' coherence='-0.4977' uniform_dist='0.0900' corpus_dist='0.0381' token-doc-diff='0.0006' exclusivity='0.6713'>mind</word>
<word rank='4' count='216' prob='0.01202' cumulative='0.08523' docs='33' word-length='22.0000' coherence='-0.7535' uniform_dist='0.0900' corpus_dist='-0.0068' token-doc-diff='0.0000' exclusivity='0.0391'>artificialintelligence</word>
<word rank='5' count='182' prob='0.01013' cumulative='0.09536' docs='26' word-length='13.0000' coherence='-1.2921' uniform_dist='0.0741' corpus_dist='0.0429' token-doc-diff='0.0001' exclusivity='0.9207'>phenomenology</word>
<word rank='6' count='175' prob='0.00974' cumulative='0.10510' docs='35' word-length='6.0000' coherence='-1.0599' uniform_dist='0.0708' corpus_dist='0.0191' token-doc-diff='0.0003' exclusivity='0.2713'>humans</word>
<word rank='7' count='164' prob='0.00913' cumulative='0.11423' docs='24' word-length='3.0000' coherence='-1.8690' uniform_dist='0.0658' corpus_dist='0.0219' token-doc-diff='0.0001' exclusivity='0.2321'>gpt</word>
<word rank='8' count='164' prob='0.00913' cumulative='0.12336' docs='39' word-length='5.0000' coherence='-0.6735' uniform_dist='0.0658' corpus_dist='0.0095' token-doc-diff='0.0010' exclusivity='0.1129'>human</word>
<word rank='9' count='162' prob='0.00902' cumulative='0.13238' docs='25' word-length='4.0000' coherence='-1.2232' uniform_dist='0.0649' corpus_dist='0.0255' token-doc-diff='0.0000' exclusivity='0.3738'>test</word>
<word rank='10' count='148' prob='0.00824' cumulative='0.14061' docs='28' word-length='10.0000' coherence='-1.2308' uniform_dist='0.0585' corpus_dist='0.0184' token-doc-diff='0.0001' exclusivity='0.2327'>experience</word>
<word rank='11' count='143' prob='0.00796' cumulative='0.14857' docs='21' word-length='6.0000' coherence='-1.3661' uniform_dist='0.0563' corpus_dist='0.0317' token-doc-diff='0.0001' exclusivity='0.8548'>turing</word>
<word rank='12' count='140' prob='0.00779' cumulative='0.15637' docs='14' word-length='7.0000' coherence='-1.7890' uniform_dist='0.0549' corpus_dist='0.0333' token-doc-diff='0.0009' exclusivity='0.9705'>husserl</word>
<word rank='13' count='131' prob='0.00729' cumulative='0.16366' docs='32' word-length='13.0000' coherence='-0.9357' uniform_dist='0.0509' corpus_dist='0.0099' token-doc-diff='0.0009' exclusivity='0.1433'>understanding</word>
<word rank='14' count='118' prob='0.00657' cumulative='0.17023' docs='21' word-length='9.0000' coherence='-1.3846' uniform_dist='0.0452' corpus_dist='0.0264' token-doc-diff='0.0000' exclusivity='0.9412'>conscious</word>
<word rank='15' count='118' prob='0.00657' cumulative='0.17680' docs='27' word-length='7.0000' coherence='-1.3108' uniform_dist='0.0452' corpus_dist='0.0138' token-doc-diff='0.0005' exclusivity='0.2567'>machine</word>
<word rank='16' count='108' prob='0.00601' cumulative='0.18281' docs='30' word-length='9.0000' coherence='-0.7960' uniform_dist='0.0408' corpus_dist='0.0137' token-doc-diff='0.0014' exclusivity='0.2528'>cognitive</word>
<word rank='17' count='102' prob='0.00568' cumulative='0.18849' docs='29' word-length='10.0000' coherence='-1.0974' uniform_dist='0.0382' corpus_dist='0.0152' token-doc-diff='0.0014' exclusivity='0.3403'>artificial</word>
<word rank='18' count='100' prob='0.00557' cumulative='0.19405' docs='23' word-length='16.0000' coherence='-1.5665' uniform_dist='0.0374' corpus_dist='0.0224' token-doc-diff='0.0005' exclusivity='0.7311'>phenomenological</word>
<word rank='19' count='98' prob='0.00546' cumulative='0.19951' docs='27' word-length='6.0000' coherence='-0.9799' uniform_dist='0.0365' corpus_dist='0.0174' token-doc-diff='0.0012' exclusivity='0.3729'>mental</word>
<word rank='20' count='95' prob='0.00529' cumulative='0.20480' docs='16' word-length='8.0000' coherence='-1.4461' uniform_dist='0.0352' corpus_dist='0.0151' token-doc-diff='0.0000' exclusivity='0.3649'>emotions</word>
</topic>
<topic id='14' tokens='12418.0000' document_entropy='2.0488' word-length='7.9500' coherence='-494.2953' uniform_dist='4.3891' corpus_dist='3.6412' eff_num_words='616.8170' token-doc-diff='0.0509' rank_1_docs='0.1316' allocation_ratio='0.1667' allocation_count='0.0789' exclusivity='0.6457'>
<word rank='1' count='142' prob='0.01144' cumulative='0.01144' docs='14' word-length='22.0000' coherence='0.0000' uniform_dist='0.0850' corpus_dist='-0.0070' token-doc-diff='0.0020' exclusivity='0.0356'>artificialintelligence</word>
<word rank='2' count='138' prob='0.01111' cumulative='0.02255' docs='8' word-length='7.0000' coherence='-0.6922' uniform_dist='0.0823' corpus_dist='0.0444' token-doc-diff='0.0002' exclusivity='0.7523'>animals</word>
<word rank='3' count='127' prob='0.01023' cumulative='0.03278' docs='6' word-length='9.0000' coherence='-1.3814' uniform_dist='0.0749' corpus_dist='0.0366' token-doc-diff='0.0010' exclusivity='0.6263'>relations</word>
<word rank='4' count='119' prob='0.00958' cumulative='0.04236' docs='5' word-length='10.0000' coherence='-2.0680' uniform_dist='0.0695' corpus_dist='0.0431' token-doc-diff='0.0016' exclusivity='0.9729'>assemblage</word>
<word rank='5' count='105' prob='0.00846' cumulative='0.05081' docs='5' word-length='9.0000' coherence='-6.1198' uniform_dist='0.0603' corpus_dist='0.0350' token-doc-diff='0.0008' exclusivity='0.6854'>posthuman</word>
<word rank='6' count='104' prob='0.00837' cumulative='0.05919' docs='1' word-length='8.0000' coherence='-6.1198' uniform_dist='0.0596' corpus_dist='0.0391' token-doc-diff='0.0118' exclusivity='0.9967'>saltybet</word>
<word rank='7' count='79' prob='0.00636' cumulative='0.06555' docs='4' word-length='11.0000' coherence='-5.9379' uniform_dist='0.0436' corpus_dist='0.0288' token-doc-diff='0.0004' exclusivity='0.9434'>assemblages</word>
<word rank='8' count='78' prob='0.00628' cumulative='0.07183' docs='4' word-length='8.0000' coherence='-5.9379' uniform_dist='0.0429' corpus_dist='0.0289' token-doc-diff='0.0004' exclusivity='0.9532'>narrator</word>
<word rank='9' count='73' prob='0.00588' cumulative='0.07771' docs='4' word-length='4.0000' coherence='-5.9379' uniform_dist='0.0398' corpus_dist='0.0260' token-doc-diff='0.0002' exclusivity='0.8278'>wife</word>
<word rank='10' count='72' prob='0.00580' cumulative='0.08351' docs='2' word-length='7.0000' coherence='-6.4070' uniform_dist='0.0392' corpus_dist='0.0263' token-doc-diff='0.0028' exclusivity='0.8864'>publics</word>
<word rank='11' count='61' prob='0.00491' cumulative='0.08842' docs='10' word-length='4.0000' coherence='-5.0256' uniform_dist='0.0324' corpus_dist='0.0067' token-doc-diff='0.0060' exclusivity='0.0627'>text</word>
<word rank='12' count='60' prob='0.00483' cumulative='0.09325' docs='7' word-length='7.0000' coherence='-5.9379' uniform_dist='0.0318' corpus_dist='0.0135' token-doc-diff='0.0019' exclusivity='0.2458'>reading</word>
<word rank='13' count='58' prob='0.00467' cumulative='0.09792' docs='1' word-length='13.0000' coherence='-6.2737' uniform_dist='0.0305' corpus_dist='0.0218' token-doc-diff='0.0043' exclusivity='0.9941'>spectatorship</word>
<word rank='14' count='58' prob='0.00467' cumulative='0.10259' docs='2' word-length='12.0000' coherence='-6.6298' uniform_dist='0.0305' corpus_dist='0.0217' token-doc-diff='0.0014' exclusivity='0.9924'>human-animal</word>
<word rank='15' count='58' prob='0.00467' cumulative='0.10726' docs='8' word-length='5.0000' coherence='-5.0256' uniform_dist='0.0305' corpus_dist='0.0132' token-doc-diff='0.0034' exclusivity='0.2687'>story</word>
<word rank='16' count='58' prob='0.00467' cumulative='0.11193' docs='4' word-length='3.0000' coherence='-5.9379' uniform_dist='0.0305' corpus_dist='0.0081' token-doc-diff='0.0000' exclusivity='0.1138'>gpt</word>
<word rank='17' count='54' prob='0.00435' cumulative='0.11628' docs='8' word-length='6.0000' coherence='-5.0256' uniform_dist='0.0281' corpus_dist='0.0161' token-doc-diff='0.0039' exclusivity='0.6115'>animal</word>
<word rank='18' count='51' prob='0.00411' cumulative='0.12039' docs='1' word-length='5.0000' coherence='-5.9379' uniform_dist='0.0263' corpus_dist='0.0189' token-doc-diff='0.0033' exclusivity='0.9384'>pluto</word>
<word rank='19' count='50' prob='0.00403' cumulative='0.12442' docs='8' word-length='4.0000' coherence='-5.9379' uniform_dist='0.0257' corpus_dist='0.0127' token-doc-diff='0.0046' exclusivity='0.3719'>game</word>
<word rank='20' count='49' prob='0.00395' cumulative='0.12836' docs='5' word-length='5.0000' coherence='-6.1198' uniform_dist='0.0251' corpus_dist='0.0153' token-doc-diff='0.0008' exclusivity='0.6342'>games</word>
</topic>
<topic id='15' tokens='50040.0000' document_entropy='4.7161' word-length='6.6000' coherence='-128.1081' uniform_dist='4.6355' corpus_dist='2.0377' eff_num_words='543.2157' token-doc-diff='0.0063' rank_1_docs='0.0372' allocation_ratio='0.0074' allocation_count='0.0223' exclusivity='0.2860'>
<word rank='1' count='602' prob='0.01203' cumulative='0.01203' docs='115' word-length='9.0000' coherence='0.0000' uniform_dist='0.0900' corpus_dist='0.0235' token-doc-diff='0.0018' exclusivity='0.2446'>knowledge</word>
<word rank='2' count='564' prob='0.01127' cumulative='0.02330' docs='129' word-length='5.0000' coherence='-0.2790' uniform_dist='0.0836' corpus_dist='0.0141' token-doc-diff='0.0006' exclusivity='0.1488'>human</word>
<word rank='3' count='529' prob='0.01057' cumulative='0.03387' docs='112' word-length='8.0000' coherence='-0.4171' uniform_dist='0.0777' corpus_dist='0.0149' token-doc-diff='0.0010' exclusivity='0.0935'>language</word>
<word rank='4' count='401' prob='0.00801' cumulative='0.04189' docs='109' word-length='5.0000' coherence='-0.4530' uniform_dist='0.0567' corpus_dist='0.0131' token-doc-diff='0.0000' exclusivity='0.1812'>world</word>
<word rank='5' count='347' prob='0.00693' cumulative='0.04882' docs='107' word-length='7.0000' coherence='-0.4866' uniform_dist='0.0481' corpus_dist='0.0168' token-doc-diff='0.0000' exclusivity='0.4691'>meaning</word>
<word rank='6' count='346' prob='0.00691' cumulative='0.05574' docs='111' word-length='6.0000' coherence='-0.4054' uniform_dist='0.0479' corpus_dist='0.0137' token-doc-diff='0.0001' exclusivity='0.2496'>theory</word>
<word rank='7' count='344' prob='0.00687' cumulative='0.06261' docs='110' word-length='7.0000' coherence='-0.4544' uniform_dist='0.0476' corpus_dist='0.0152' token-doc-diff='0.0001' exclusivity='0.4352'>concept</word>
<word rank='8' count='329' prob='0.00657' cumulative='0.06918' docs='81' word-length='5.0000' coherence='-0.7935' uniform_dist='0.0452' corpus_dist='0.0208' token-doc-diff='0.0002' exclusivity='0.9332'>logic</word>
<word rank='9' count='314' prob='0.00627' cumulative='0.07546' docs='95' word-length='7.0000' coherence='-0.6151' uniform_dist='0.0429' corpus_dist='0.0097' token-doc-diff='0.0000' exclusivity='0.1110'>science</word>
<word rank='10' count='301' prob='0.00602' cumulative='0.08147' docs='105' word-length='7.0000' coherence='-0.5552' uniform_dist='0.0408' corpus_dist='0.0121' token-doc-diff='0.0002' exclusivity='0.2508'>machine</word>
<word rank='11' count='278' prob='0.00556' cumulative='0.08703' docs='86' word-length='7.0000' coherence='-0.6835' uniform_dist='0.0373' corpus_dist='0.0057' token-doc-diff='0.0000' exclusivity='0.0994'>process</word>
<word rank='12' count='257' prob='0.00514' cumulative='0.09217' docs='93' word-length='10.0000' coherence='-0.6835' uniform_dist='0.0341' corpus_dist='0.0111' token-doc-diff='0.0002' exclusivity='0.3594'>philosophy</word>
<word rank='13' count='228' prob='0.00456' cumulative='0.09672' docs='84' word-length='8.0000' coherence='-0.8107' uniform_dist='0.0297' corpus_dist='0.0103' token-doc-diff='0.0003' exclusivity='0.4469'>concepts</word>
<word rank='14' count='227' prob='0.00454' cumulative='0.10126' docs='72' word-length='6.0000' coherence='-0.8328' uniform_dist='0.0295' corpus_dist='0.0040' token-doc-diff='0.0000' exclusivity='0.0867'>system</word>
<word rank='15' count='220' prob='0.00440' cumulative='0.10566' docs='61' word-length='5.0000' coherence='-0.9476' uniform_dist='0.0285' corpus_dist='0.0104' token-doc-diff='0.0000' exclusivity='0.1824'>truth</word>
<word rank='16' count='211' prob='0.00422' cumulative='0.10987' docs='87' word-length='5.0000' coherence='-0.7925' uniform_dist='0.0271' corpus_dist='0.0077' token-doc-diff='0.0006' exclusivity='0.4004'>order</word>
<word rank='17' count='206' prob='0.00412' cumulative='0.11399' docs='88' word-length='5.0000' coherence='-0.7258' uniform_dist='0.0264' corpus_dist='0.0035' token-doc-diff='0.0007' exclusivity='0.1999'>based</word>
<word rank='18' count='202' prob='0.00404' cumulative='0.11803' docs='62' word-length='6.0000' coherence='-1.0644' uniform_dist='0.0258' corpus_dist='0.0090' token-doc-diff='0.0000' exclusivity='0.3221'>agency</word>
<word rank='19' count='199' prob='0.00398' cumulative='0.12200' docs='66' word-length='10.0000' coherence='-0.9649' uniform_dist='0.0254' corpus_dist='0.0092' token-doc-diff='0.0001' exclusivity='0.2544'>artificial</word>
<word rank='20' count='192' prob='0.00384' cumulative='0.12584' docs='78' word-length='4.0000' coherence='-0.7594' uniform_dist='0.0243' corpus_dist='0.0058' token-doc-diff='0.0005' exclusivity='0.2514'>form</word>
</topic>
<topic id='16' tokens='13508.0000' document_entropy='2.8336' word-length='6.8500' coherence='-266.6419' uniform_dist='4.4555' corpus_dist='3.5702' eff_num_words='454.8711' token-doc-diff='0.0243' rank_1_docs='0.0923' allocation_ratio='0.0000' allocation_count='0.0769' exclusivity='0.6176'>
<word rank='1' count='243' prob='0.01799' cumulative='0.01799' docs='24' word-length='10.0000' coherence='0.0000' uniform_dist='0.1419' corpus_dist='0.0530' token-doc-diff='0.0008' exclusivity='0.4591'>literature</word>
<word rank='2' count='228' prob='0.01688' cumulative='0.03487' docs='14' word-length='6.0000' coherence='-0.6126' uniform_dist='0.1320' corpus_dist='0.0766' token-doc-diff='0.0051' exclusivity='0.9914'>poetry</word>
<word rank='3' count='182' prob='0.01347' cumulative='0.04834' docs='24' word-length='8.0000' coherence='-0.2335' uniform_dist='0.1024' corpus_dist='0.0574' token-doc-diff='0.0000' exclusivity='0.8293'>literary</word>
<word rank='4' count='129' prob='0.00955' cumulative='0.05789' docs='13' word-length='4.0000' coherence='-0.8747' uniform_dist='0.0693' corpus_dist='0.0438' token-doc-diff='0.0004' exclusivity='0.9971'>poem</word>
<word rank='5' count='125' prob='0.00925' cumulative='0.06715' docs='12' word-length='5.0000' coherence='-0.8747' uniform_dist='0.0668' corpus_dist='0.0423' token-doc-diff='0.0005' exclusivity='0.9954'>poems</word>
<word rank='6' count='117' prob='0.00866' cumulative='0.07581' docs='20' word-length='8.0000' coherence='-0.4052' uniform_dist='0.0620' corpus_dist='0.0105' token-doc-diff='0.0007' exclusivity='0.0696'>language</word>
<word rank='7' count='105' prob='0.00777' cumulative='0.08358' docs='22' word-length='4.0000' coherence='-0.4849' uniform_dist='0.0548' corpus_dist='0.0141' token-doc-diff='0.0020' exclusivity='0.1003'>text</word>
<word rank='8' count='101' prob='0.00748' cumulative='0.09106' docs='9' word-length='4.0000' coherence='-1.4796' uniform_dist='0.0524' corpus_dist='0.0241' token-doc-diff='0.0006' exclusivity='0.5508'>code</word>
<word rank='9' count='97' prob='0.00718' cumulative='0.09824' docs='22' word-length='7.0000' coherence='-0.5866' uniform_dist='0.0500' corpus_dist='0.0092' token-doc-diff='0.0026' exclusivity='0.1167'>process</word>
<word rank='10' count='85' prob='0.00629' cumulative='0.10453' docs='16' word-length='5.0000' coherence='-0.6926' uniform_dist='0.0430' corpus_dist='0.0130' token-doc-diff='0.0009' exclusivity='0.2050'>words</word>
<word rank='11' count='80' prob='0.00592' cumulative='0.11045' docs='5' word-length='6.0000' coherence='-2.1856' uniform_dist='0.0401' corpus_dist='0.0198' token-doc-diff='0.0017' exclusivity='0.3105'>labour</word>
<word rank='12' count='76' prob='0.00563' cumulative='0.11608' docs='5' word-length='9.0000' coherence='-6.5246' uniform_dist='0.0378' corpus_dist='0.0174' token-doc-diff='0.0014' exclusivity='0.5460'>evolution</word>
<word rank='13' count='75' prob='0.00555' cumulative='0.12163' docs='11' word-length='9.0000' coherence='-1.5989' uniform_dist='0.0373' corpus_dist='0.0180' token-doc-diff='0.0001' exclusivity='0.7303'>selection</word>
<word rank='14' count='69' prob='0.00511' cumulative='0.12674' docs='15' word-length='7.0000' coherence='-1.5989' uniform_dist='0.0339' corpus_dist='0.0187' token-doc-diff='0.0015' exclusivity='0.5422'>readers</word>
<word rank='15' count='68' prob='0.00503' cumulative='0.13177' docs='10' word-length='4.0000' coherence='-1.5989' uniform_dist='0.0333' corpus_dist='0.0230' token-doc-diff='0.0001' exclusivity='0.9931'>poet</word>
<word rank='16' count='67' prob='0.00496' cumulative='0.13673' docs='11' word-length='7.0000' coherence='-1.6994' uniform_dist='0.0327' corpus_dist='0.0217' token-doc-diff='0.0003' exclusivity='0.8128'>poetics</word>
<word rank='17' count='62' prob='0.00459' cumulative='0.14132' docs='8' word-length='5.0000' coherence='-1.7020' uniform_dist='0.0299' corpus_dist='0.0210' token-doc-diff='0.0000' exclusivity='0.9940'>poets</word>
<word rank='18' count='62' prob='0.00459' cumulative='0.14591' docs='17' word-length='5.0000' coherence='-1.5989' uniform_dist='0.0299' corpus_dist='0.0103' token-doc-diff='0.0032' exclusivity='0.2027'>works</word>
<word rank='19' count='59' prob='0.00437' cumulative='0.15028' docs='3' word-length='17.0000' coherence='-6.9659' uniform_dist='0.0283' corpus_dist='0.0193' token-doc-diff='0.0019' exclusivity='0.9446'>natural_selection</word>
<word rank='20' count='57' prob='0.00422' cumulative='0.15450' docs='5' word-length='7.0000' coherence='-5.9379' uniform_dist='0.0272' corpus_dist='0.0192' token-doc-diff='0.0004' exclusivity='0.9611'>erasure</word>
</topic>
<topic id='17' tokens='27366.0000' document_entropy='3.5220' word-length='8.4500' coherence='-115.2588' uniform_dist='4.6669' corpus_dist='2.5826' eff_num_words='319.3769' token-doc-diff='0.0180' rank_1_docs='0.0738' allocation_ratio='0.0000' allocation_count='0.0738' exclusivity='0.3238'>
<word rank='1' count='761' prob='0.02781' cumulative='0.02781' docs='70' word-length='6.0000' coherence='0.0000' uniform_dist='0.2314' corpus_dist='0.0872' token-doc-diff='0.0058' exclusivity='0.5996'>ethics</word>
<word rank='2' count='671' prob='0.02452' cumulative='0.05233' docs='63' word-length='7.0000' coherence='-0.2054' uniform_dist='0.2010' corpus_dist='0.0703' token-doc-diff='0.0048' exclusivity='0.6016'>ethical</word>
<word rank='3' count='344' prob='0.01257' cumulative='0.06490' docs='51' word-length='12.0000' coherence='-0.4198' uniform_dist='0.0946' corpus_dist='0.0397' token-doc-diff='0.0002' exclusivity='0.5038'>transparency</word>
<word rank='4' count='319' prob='0.01166' cumulative='0.07655' docs='48' word-length='14.0000' coherence='-0.4872' uniform_dist='0.0869' corpus_dist='0.0325' token-doc-diff='0.0002' exclusivity='0.3114'>responsibility</word>
<word rank='5' count='263' prob='0.00961' cumulative='0.08617' docs='45' word-length='7.0000' coherence='-0.5595' uniform_dist='0.0698' corpus_dist='0.0124' token-doc-diff='0.0000' exclusivity='0.1434'>systems</word>
<word rank='6' count='230' prob='0.00840' cumulative='0.09457' docs='43' word-length='5.0000' coherence='-0.6108' uniform_dist='0.0599' corpus_dist='0.0200' token-doc-diff='0.0000' exclusivity='0.2210'>trust</word>
<word rank='7' count='221' prob='0.00808' cumulative='0.10265' docs='41' word-length='11.0000' coherence='-0.6108' uniform_dist='0.0572' corpus_dist='0.0226' token-doc-diff='0.0000' exclusivity='0.4170'>responsible</word>
<word rank='8' count='180' prob='0.00658' cumulative='0.10922' docs='40' word-length='8.0000' coherence='-0.6930' uniform_dist='0.0453' corpus_dist='0.0178' token-doc-diff='0.0003' exclusivity='0.2508'>fairness</word>
<word rank='9' count='176' prob='0.00643' cumulative='0.11565' docs='47' word-length='8.0000' coherence='-0.5348' uniform_dist='0.0441' corpus_dist='0.0159' token-doc-diff='0.0011' exclusivity='0.2808'>outcomes</word>
<word rank='10' count='173' prob='0.00632' cumulative='0.12198' docs='38' word-length='12.0000' coherence='-0.6930' uniform_dist='0.0432' corpus_dist='0.0181' token-doc-diff='0.0003' exclusivity='0.3618'>stakeholders</word>
<word rank='11' count='172' prob='0.00629' cumulative='0.12826' docs='40' word-length='6.0000' coherence='-0.6464' uniform_dist='0.0430' corpus_dist='0.0130' token-doc-diff='0.0004' exclusivity='0.1593'>values</word>
<word rank='12' count='170' prob='0.00621' cumulative='0.13447' docs='41' word-length='10.0000' coherence='-0.6223' uniform_dist='0.0424' corpus_dist='0.0141' token-doc-diff='0.0006' exclusivity='0.2553'>principles</word>
<word rank='13' count='166' prob='0.00607' cumulative='0.14054' docs='33' word-length='4.0000' coherence='-0.8809' uniform_dist='0.0412' corpus_dist='0.0143' token-doc-diff='0.0001' exclusivity='0.3013'>risk</word>
<word rank='14' count='145' prob='0.00530' cumulative='0.14584' docs='36' word-length='5.0000' coherence='-0.7417' uniform_dist='0.0353' corpus_dist='0.0100' token-doc-diff='0.0006' exclusivity='0.0982'>moral</word>
<word rank='15' count='142' prob='0.00519' cumulative='0.15103' docs='27' word-length='4.0000' coherence='-1.1415' uniform_dist='0.0345' corpus_dist='0.0135' token-doc-diff='0.0000' exclusivity='0.3222'>page</word>
<word rank='16' count='141' prob='0.00515' cumulative='0.15618' docs='33' word-length='8.0000' coherence='-0.8470' uniform_dist='0.0342' corpus_dist='0.0023' token-doc-diff='0.0004' exclusivity='0.0748'>research</word>
<word rank='17' count='136' prob='0.00497' cumulative='0.16115' docs='29' word-length='11.0000' coherence='-1.1470' uniform_dist='0.0328' corpus_dist='0.0171' token-doc-diff='0.0002' exclusivity='0.6111'>trustworthy</word>
<word rank='18' count='132' prob='0.00482' cumulative='0.16597' docs='36' word-length='10.0000' coherence='-0.7219' uniform_dist='0.0317' corpus_dist='0.0137' token-doc-diff='0.0009' exclusivity='0.4874'>guidelines</word>
<word rank='19' count='131' prob='0.00479' cumulative='0.17076' docs='30' word-length='7.0000' coherence='-0.9647' uniform_dist='0.0314' corpus_dist='0.0042' token-doc-diff='0.0003' exclusivity='0.0831'>process</word>
<word rank='20' count='130' prob='0.00475' cumulative='0.17551' docs='42' word-length='14.0000' coherence='-0.5595' uniform_dist='0.0311' corpus_dist='0.0134' token-doc-diff='0.0018' exclusivity='0.3929'>accountability</word>
</topic>
<topic id='18' tokens='117871.0000' document_entropy='5.3884' word-length='8.4500' coherence='-77.8134' uniform_dist='4.8274' corpus_dist='1.6306' eff_num_words='486.0536' token-doc-diff='0.0082' rank_1_docs='0.0153' allocation_ratio='0.0000' allocation_count='0.0153' exclusivity='0.3356'>
<word rank='1' count='1457' prob='0.01236' cumulative='0.01236' docs='252' word-length='13.0000' coherence='0.0000' uniform_dist='0.0928' corpus_dist='0.0234' token-doc-diff='0.0012' exclusivity='0.2649'>understanding</word>
<word rank='2' count='1435' prob='0.01217' cumulative='0.02454' docs='247' word-length='8.0000' coherence='-0.1588' uniform_dist='0.0913' corpus_dist='0.0160' token-doc-diff='0.0012' exclusivity='0.1864'>research</word>
<word rank='3' count='1358' prob='0.01152' cumulative='0.03606' docs='238' word-length='8.0000' coherence='-0.1919' uniform_dist='0.0857' corpus_dist='0.0212' token-doc-diff='0.0011' exclusivity='0.3372'>analysis</word>
<word rank='4' count='1137' prob='0.00965' cumulative='0.04570' docs='237' word-length='4.0000' coherence='-0.2161' uniform_dist='0.0701' corpus_dist='0.0197' token-doc-diff='0.0002' exclusivity='0.4538'>role</word>
<word rank='5' count='1133' prob='0.00961' cumulative='0.05531' docs='222' word-length='5.0000' coherence='-0.2477' uniform_dist='0.0698' corpus_dist='0.0128' token-doc-diff='0.0004' exclusivity='0.1375'>study</word>
<word rank='6' count='1014' prob='0.00860' cumulative='0.06392' docs='239' word-length='9.0000' coherence='-0.2162' uniform_dist='0.0615' corpus_dist='0.0160' token-doc-diff='0.0000' exclusivity='0.4712'>potential</word>
<word rank='7' count='932' prob='0.00791' cumulative='0.07182' docs='217' word-length='10.0000' coherence='-0.2983' uniform_dist='0.0559' corpus_dist='0.0162' token-doc-diff='0.0000' exclusivity='0.4050'>challenges</word>
<word rank='8' count='913' prob='0.00775' cumulative='0.07957' docs='223' word-length='7.0000' coherence='-0.2739' uniform_dist='0.0546' corpus_dist='0.0105' token-doc-diff='0.0000' exclusivity='0.1417'>process</word>
<word rank='9' count='797' prob='0.00676' cumulative='0.08633' docs='209' word-length='8.0000' coherence='-0.3190' uniform_dist='0.0467' corpus_dist='0.0100' token-doc-diff='0.0000' exclusivity='0.2368'>approach</word>
<word rank='10' count='758' prob='0.00643' cumulative='0.09276' docs='192' word-length='9.0000' coherence='-0.4235' uniform_dist='0.0441' corpus_dist='0.0124' token-doc-diff='0.0000' exclusivity='0.2617'>framework</word>
<word rank='11' count='693' prob='0.00588' cumulative='0.09864' docs='203' word-length='7.0000' coherence='-0.3827' uniform_dist='0.0398' corpus_dist='0.0084' token-doc-diff='0.0002' exclusivity='0.2554'>context</word>
<word rank='12' count='680' prob='0.00577' cumulative='0.10441' docs='197' word-length='6.0000' coherence='-0.3936' uniform_dist='0.0389' corpus_dist='0.0086' token-doc-diff='0.0001' exclusivity='0.1693'>impact</word>
<word rank='13' count='630' prob='0.00534' cumulative='0.10976' docs='206' word-length='11.0000' coherence='-0.3859' uniform_dist='0.0357' corpus_dist='0.0060' token-doc-diff='0.0004' exclusivity='0.1358'>development</word>
<word rank='14' count='537' prob='0.00456' cumulative='0.11431' docs='176' word-length='7.0000' coherence='-0.4818' uniform_dist='0.0297' corpus_dist='0.0103' token-doc-diff='0.0004' exclusivity='0.7907'>crucial</word>
<word rank='15' count='509' prob='0.00432' cumulative='0.11863' docs='169' word-length='8.0000' coherence='-0.5629' uniform_dist='0.0279' corpus_dist='0.0098' token-doc-diff='0.0004' exclusivity='0.4773'>insights</word>
<word rank='16' count='499' prob='0.00423' cumulative='0.12286' docs='180' word-length='7.0000' coherence='-0.4727' uniform_dist='0.0273' corpus_dist='0.0055' token-doc-diff='0.0006' exclusivity='0.2355'>provide</word>
<word rank='17' count='488' prob='0.00414' cumulative='0.12700' docs='175' word-length='9.0000' coherence='-0.5257' uniform_dist='0.0266' corpus_dist='0.0076' token-doc-diff='0.0006' exclusivity='0.3427'>processes</word>
<word rank='18' count='480' prob='0.00407' cumulative='0.13108' docs='161' word-length='10.0000' coherence='-0.5711' uniform_dist='0.0261' corpus_dist='0.0059' token-doc-diff='0.0004' exclusivity='0.1170'>literature</word>
<word rank='19' count='472' prob='0.00400' cumulative='0.13508' docs='167' word-length='12.0000' coherence='-0.5320' uniform_dist='0.0256' corpus_dist='0.0078' token-doc-diff='0.0005' exclusivity='0.5982'>implications</word>
<word rank='20' count='453' prob='0.00384' cumulative='0.13892' docs='152' word-length='11.0000' coherence='-0.6542' uniform_dist='0.0244' corpus_dist='0.0090' token-doc-diff='0.0004' exclusivity='0.6935'>integration</word>
</topic>
<topic id='19' tokens='26190.0000' document_entropy='3.0559' word-length='7.1500' coherence='-112.8848' uniform_dist='4.5657' corpus_dist='2.7556' eff_num_words='430.0107' token-doc-diff='0.0060' rank_1_docs='0.0947' allocation_ratio='0.0313' allocation_count='0.0947' exclusivity='0.4729'>
<word rank='1' count='420' prob='0.01604' cumulative='0.01604' docs='43' word-length='3.0000' coherence='0.0000' uniform_dist='0.1246' corpus_dist='0.0558' token-doc-diff='0.0009' exclusivity='0.8055'>law</word>
<word rank='2' count='327' prob='0.01249' cumulative='0.02852' docs='39' word-length='10.0000' coherence='-0.4652' uniform_dist='0.0939' corpus_dist='0.0439' token-doc-diff='0.0002' exclusivity='0.7048'>regulation</word>
<word rank='3' count='315' prob='0.01203' cumulative='0.04055' docs='31' word-length='10.0000' coherence='-0.6699' uniform_dist='0.0900' corpus_dist='0.0459' token-doc-diff='0.0008' exclusivity='0.9688'>regulatory</word>
<word rank='4' count='315' prob='0.01203' cumulative='0.05258' docs='31' word-length='10.0000' coherence='-0.5829' uniform_dist='0.0900' corpus_dist='0.0417' token-doc-diff='0.0008' exclusivity='0.6752'>governance</word>
<word rank='5' count='277' prob='0.01058' cumulative='0.06315' docs='35' word-length='13.0000' coherence='-0.6254' uniform_dist='0.0778' corpus_dist='0.0300' token-doc-diff='0.0000' exclusivity='0.5196'>international</word>
<word rank='6' count='242' prob='0.00924' cumulative='0.07239' docs='30' word-length='6.0000' coherence='-0.7164' uniform_dist='0.0667' corpus_dist='0.0299' token-doc-diff='0.0001' exclusivity='0.5266'>safety</word>
<word rank='7' count='238' prob='0.00909' cumulative='0.08148' docs='33' word-length='7.0000' coherence='-0.5829' uniform_dist='0.0655' corpus_dist='0.0112' token-doc-diff='0.0000' exclusivity='0.1352'>systems</word>
<word rank='8' count='235' prob='0.00897' cumulative='0.09045' docs='29' word-length='9.0000' coherence='-0.6254' uniform_dist='0.0645' corpus_dist='0.0295' token-doc-diff='0.0001' exclusivity='0.6491'>standards</word>
<word rank='9' count='197' prob='0.00752' cumulative='0.09798' docs='32' word-length='4.0000' coherence='-0.5106' uniform_dist='0.0528' corpus_dist='0.0127' token-doc-diff='0.0002' exclusivity='0.3806'>case</word>
<word rank='10' count='193' prob='0.00737' cumulative='0.10535' docs='28' word-length='5.0000' coherence='-0.6254' uniform_dist='0.0515' corpus_dist='0.0198' token-doc-diff='0.0000' exclusivity='0.4452'>risks</word>
<word rank='11' count='191' prob='0.00729' cumulative='0.11264' docs='27' word-length='5.0000' coherence='-0.7823' uniform_dist='0.0509' corpus_dist='0.0211' token-doc-diff='0.0000' exclusivity='0.3850'>legal</word>
<word rank='12' count='165' prob='0.00630' cumulative='0.11894' docs='28' word-length='3.0000' coherence='-0.6646' uniform_dist='0.0431' corpus_dist='0.0150' token-doc-diff='0.0003' exclusivity='0.4195'>act</word>
<word rank='13' count='159' prob='0.00607' cumulative='0.12501' docs='28' word-length='6.0000' coherence='-0.7164' uniform_dist='0.0413' corpus_dist='0.0159' token-doc-diff='0.0003' exclusivity='0.2939'>policy</word>
<word rank='14' count='153' prob='0.00584' cumulative='0.13085' docs='27' word-length='6.0000' coherence='-0.7651' uniform_dist='0.0395' corpus_dist='0.0116' token-doc-diff='0.0003' exclusivity='0.1912'>public</word>
<word rank='15' count='152' prob='0.00580' cumulative='0.13666' docs='18' word-length='10.0000' coherence='-1.1955' uniform_dist='0.0392' corpus_dist='0.0191' token-doc-diff='0.0001' exclusivity='0.6159'>government</word>
<word rank='16' count='149' prob='0.00569' cumulative='0.14234' docs='27' word-length='11.0000' coherence='-0.6254' uniform_dist='0.0383' corpus_dist='0.0202' token-doc-diff='0.0004' exclusivity='0.9037'>regulations</word>
<word rank='17' count='142' prob='0.00542' cumulative='0.14777' docs='23' word-length='9.0000' coherence='-0.7728' uniform_dist='0.0363' corpus_dist='0.0095' token-doc-diff='0.0001' exclusivity='0.2087'>framework</word>
<word rank='18' count='141' prob='0.00538' cumulative='0.15315' docs='26' word-length='6.0000' coherence='-0.8704' uniform_dist='0.0360' corpus_dist='0.0129' token-doc-diff='0.0004' exclusivity='0.3026'>global</word>
<word rank='19' count='128' prob='0.00489' cumulative='0.15804' docs='21' word-length='4.0000' coherence='-1.1775' uniform_dist='0.0322' corpus_dist='0.0105' token-doc-diff='0.0001' exclusivity='0.2420'>risk</word>
<word rank='20' count='120' prob='0.00458' cumulative='0.16262' docs='25' word-length='6.0000' coherence='-0.9547' uniform_dist='0.0299' corpus_dist='0.0041' token-doc-diff='0.0008' exclusivity='0.0847'>system</word>
</topic>
<topic id='20' tokens='12393.0000' document_entropy='2.6338' word-length='8.5000' coherence='-412.6899' uniform_dist='4.2040' corpus_dist='3.6884' eff_num_words='858.3078' token-doc-diff='0.0367' rank_1_docs='0.1017' allocation_ratio='0.0000' allocation_count='0.0678' exclusivity='0.6515'>
<word rank='1' count='110' prob='0.00888' cumulative='0.00888' docs='6' word-length='9.0000' coherence='0.0000' uniform_dist='0.0637' corpus_dist='0.0395' token-doc-diff='0.0057' exclusivity='0.9283'>assertion</word>
<word rank='2' count='95' prob='0.00767' cumulative='0.01654' docs='16' word-length='10.0000' coherence='-1.0942' uniform_dist='0.0539' corpus_dist='0.0311' token-doc-diff='0.0005' exclusivity='0.7608'>capitalism</word>
<word rank='3' count='93' prob='0.00750' cumulative='0.02405' docs='8' word-length='8.0000' coherence='-2.7603' uniform_dist='0.0526' corpus_dist='0.0202' token-doc-diff='0.0015' exclusivity='0.2817'>chatbots</word>
<word rank='4' count='76' prob='0.00613' cumulative='0.03018' docs='5' word-length='8.0000' coherence='-6.1198' uniform_dist='0.0418' corpus_dist='0.0286' token-doc-diff='0.0027' exclusivity='0.9861'>futurism</word>
<word rank='5' count='74' prob='0.00597' cumulative='0.03615' docs='8' word-length='7.0000' coherence='-6.1198' uniform_dist='0.0405' corpus_dist='0.0208' token-doc-diff='0.0003' exclusivity='0.4861'>climate</word>
<word rank='6' count='67' prob='0.00541' cumulative='0.04156' docs='14' word-length='6.0000' coherence='-0.9781' uniform_dist='0.0361' corpus_dist='0.0195' token-doc-diff='0.0016' exclusivity='0.4499'>crisis</word>
<word rank='7' count='65' prob='0.00524' cumulative='0.04680' docs='12' word-length='10.0000' coherence='-1.7808' uniform_dist='0.0349' corpus_dist='0.0185' token-doc-diff='0.0008' exclusivity='0.5402'>narratives</word>
<word rank='8' count='64' prob='0.00516' cumulative='0.05196' docs='9' word-length='10.0000' coherence='-6.1198' uniform_dist='0.0343' corpus_dist='0.0220' token-doc-diff='0.0000' exclusivity='0.9323'>capitalist</word>
<word rank='9' count='62' prob='0.00500' cumulative='0.05697' docs='11' word-length='6.0000' coherence='-1.0964' uniform_dist='0.0330' corpus_dist='0.0116' token-doc-diff='0.0005' exclusivity='0.2610'>global</word>
<word rank='10' count='57' prob='0.00460' cumulative='0.06157' docs='2' word-length='5.0000' coherence='-6.7250' uniform_dist='0.0300' corpus_dist='0.0215' token-doc-diff='0.0053' exclusivity='0.9940'>klara</word>
<word rank='11' count='56' prob='0.00452' cumulative='0.06609' docs='3' word-length='6.0000' coherence='-7.0993' uniform_dist='0.0294' corpus_dist='0.0196' token-doc-diff='0.0030' exclusivity='0.8119'>cinema</word>
<word rank='12' count='56' prob='0.00452' cumulative='0.07060' docs='15' word-length='13.0000' coherence='-1.7808' uniform_dist='0.0294' corpus_dist='0.0082' token-doc-diff='0.0037' exclusivity='0.2385'>technological</word>
<word rank='13' count='54' prob='0.00436' cumulative='0.07496' docs='2' word-length='11.0000' coherence='-7.0993' uniform_dist='0.0282' corpus_dist='0.0180' token-doc-diff='0.0047' exclusivity='0.6409'>restoration</word>
<word rank='14' count='54' prob='0.00436' cumulative='0.07932' docs='10' word-length='13.0000' coherence='-6.1198' uniform_dist='0.0282' corpus_dist='0.0123' token-doc-diff='0.0006' exclusivity='0.2742'>environmental</word>
<word rank='15' count='51' prob='0.00412' cumulative='0.08343' docs='9' word-length='8.0000' coherence='-6.1198' uniform_dist='0.0264' corpus_dist='0.0158' token-doc-diff='0.0004' exclusivity='0.6074'>ideology</word>
<word rank='16' count='49' prob='0.00395' cumulative='0.08739' docs='14' word-length='9.0000' coherence='-5.4289' uniform_dist='0.0252' corpus_dist='0.0170' token-doc-diff='0.0040' exclusivity='0.9368'>planetary</word>
<word rank='17' count='44' prob='0.00355' cumulative='0.09094' docs='8' word-length='9.0000' coherence='-2.0680' uniform_dist='0.0222' corpus_dist='0.0142' token-doc-diff='0.0005' exclusivity='0.7767'>imaginary</word>
<word rank='18' count='44' prob='0.00355' cumulative='0.09449' docs='8' word-length='7.0000' coherence='-5.4289' uniform_dist='0.0222' corpus_dist='0.0138' token-doc-diff='0.0005' exclusivity='0.7177'>futures</word>
<word rank='19' count='43' prob='0.00347' cumulative='0.09796' docs='5' word-length='11.0000' coherence='-6.1198' uniform_dist='0.0217' corpus_dist='0.0158' token-doc-diff='0.0001' exclusivity='0.9028'>coloniality</word>
<word rank='20' count='40' prob='0.00323' cumulative='0.10119' docs='4' word-length='4.0000' coherence='-6.9659' uniform_dist='0.0199' corpus_dist='0.0120' token-doc-diff='0.0003' exclusivity='0.5028'>adam</word>
</topic>
<topic id='21' tokens='26519.0000' document_entropy='3.9026' word-length='6.6500' coherence='-147.3736' uniform_dist='4.9609' corpus_dist='2.6383' eff_num_words='166.4338' token-doc-diff='0.0289' rank_1_docs='0.0698' allocation_ratio='0.0448' allocation_count='0.0581' exclusivity='0.3204'>
<word rank='1' count='1544' prob='0.05822' cumulative='0.05822' docs='113' word-length='7.0000' coherence='0.0000' uniform_dist='0.5275' corpus_dist='0.1955' token-doc-diff='0.0187' exclusivity='0.5402'>chatgpt</word>
<word rank='2' count='493' prob='0.01859' cumulative='0.07681' docs='71' word-length='10.0000' coherence='-0.4932' uniform_dist='0.1472' corpus_dist='0.0458' token-doc-diff='0.0008' exclusivity='0.2014'>generative</word>
<word rank='3' count='415' prob='0.01565' cumulative='0.09246' docs='88' word-length='8.0000' coherence='-0.3579' uniform_dist='0.1212' corpus_dist='0.0281' token-doc-diff='0.0001' exclusivity='0.1340'>language</word>
<word rank='4' count='351' prob='0.01324' cumulative='0.10570' docs='66' word-length='7.0000' coherence='-0.6668' uniform_dist='0.1003' corpus_dist='0.0267' token-doc-diff='0.0000' exclusivity='0.1281'>writing</word>
<word rank='5' count='346' prob='0.01305' cumulative='0.11875' docs='75' word-length='4.0000' coherence='-0.4932' uniform_dist='0.0987' corpus_dist='0.0304' token-doc-diff='0.0001' exclusivity='0.1795'>text</word>
<word rank='6' count='280' prob='0.01056' cumulative='0.12930' docs='65' word-length='5.0000' coherence='-0.6164' uniform_dist='0.0776' corpus_dist='0.0296' token-doc-diff='0.0002' exclusivity='0.2527'>texts</word>
<word rank='7' count='243' prob='0.00916' cumulative='0.13847' docs='71' word-length='9.0000' coherence='-0.6002' uniform_dist='0.0661' corpus_dist='0.0219' token-doc-diff='0.0011' exclusivity='0.2714'>generated</word>
<word rank='8' count='236' prob='0.00890' cumulative='0.14737' docs='54' word-length='7.0000' coherence='-0.8771' uniform_dist='0.0639' corpus_dist='0.0196' token-doc-diff='0.0002' exclusivity='0.2187'>english</word>
<word rank='9' count='229' prob='0.00864' cumulative='0.15600' docs='65' word-length='4.0000' coherence='-0.7199' uniform_dist='0.0618' corpus_dist='0.0259' token-doc-diff='0.0009' exclusivity='0.4977'>word</word>
<word rank='10' count='195' prob='0.00735' cumulative='0.16335' docs='36' word-length='6.0000' coherence='-1.2665' uniform_dist='0.0514' corpus_dist='0.0166' token-doc-diff='0.0000' exclusivity='0.2133'>figure</word>
<word rank='11' count='185' prob='0.00698' cumulative='0.17033' docs='34' word-length='7.0000' coherence='-1.4233' uniform_dist='0.0484' corpus_dist='0.0190' token-doc-diff='0.0000' exclusivity='0.2985'>chatbot</word>
<word rank='12' count='180' prob='0.00679' cumulative='0.17712' docs='61' word-length='7.0000' coherence='-0.8178' uniform_dist='0.0469' corpus_dist='0.0202' token-doc-diff='0.0016' exclusivity='0.4609'>written</word>
<word rank='13' count='177' prob='0.00667' cumulative='0.18379' docs='38' word-length='9.0000' coherence='-1.0983' uniform_dist='0.0460' corpus_dist='0.0220' token-doc-diff='0.0000' exclusivity='0.4591'>chatgpt’s</word>
<word rank='14' count='172' prob='0.00649' cumulative='0.19028' docs='55' word-length='6.0000' coherence='-0.8106' uniform_dist='0.0445' corpus_dist='0.0220' token-doc-diff='0.0012' exclusivity='0.6096'>openai</word>
<word rank='15' count='169' prob='0.00637' cumulative='0.19665' docs='43' word-length='4.0000' coherence='-1.2228' uniform_dist='0.0436' corpus_dist='0.0174' token-doc-diff='0.0003' exclusivity='0.2667'>llms</word>
<word rank='16' count='168' prob='0.00634' cumulative='0.20299' docs='32' word-length='9.0000' coherence='-1.3598' uniform_dist='0.0433' corpus_dist='0.0219' token-doc-diff='0.0000' exclusivity='0.7071'>sentences</word>
<word rank='17' count='164' prob='0.00618' cumulative='0.20917' docs='52' word-length='5.0000' coherence='-0.9205' uniform_dist='0.0422' corpus_dist='0.0127' token-doc-diff='0.0011' exclusivity='0.2148'>words</word>
<word rank='18' count='154' prob='0.00581' cumulative='0.21498' docs='53' word-length='8.0000' coherence='-0.8354' uniform_dist='0.0392' corpus_dist='0.0131' token-doc-diff='0.0014' exclusivity='0.2964'>generate</word>
<word rank='19' count='150' prob='0.00566' cumulative='0.22063' docs='39' word-length='5.0000' coherence='-1.1162' uniform_dist='0.0381' corpus_dist='0.0032' token-doc-diff='0.0003' exclusivity='0.0723'>human</word>
<word rank='20' count='148' prob='0.00558' cumulative='0.22622' docs='48' word-length='6.0000' coherence='-1.0407' uniform_dist='0.0375' corpus_dist='0.0129' token-doc-diff='0.0011' exclusivity='0.3850'>author</word>
</topic>
<topic id='22' tokens='21402.0000' document_entropy='2.6138' word-length='7.4000' coherence='-190.0876' uniform_dist='5.4143' corpus_dist='2.6897' eff_num_words='106.4190' token-doc-diff='0.0580' rank_1_docs='0.0706' allocation_ratio='0.0833' allocation_count='0.0706' exclusivity='0.4093'>
<word rank='1' count='1465' prob='0.06845' cumulative='0.06845' docs='50' word-length='7.0000' coherence='0.0000' uniform_dist='0.6313' corpus_dist='0.2505' token-doc-diff='0.0118' exclusivity='0.6515'>writing</word>
<word rank='2' count='759' prob='0.03546' cumulative='0.10392' docs='39' word-length='8.0000' coherence='-0.4461' uniform_dist='0.3037' corpus_dist='0.1335' token-doc-diff='0.0016' exclusivity='0.8083'>learners</word>
<word rank='3' count='599' prob='0.02799' cumulative='0.13190' docs='41' word-length='8.0000' coherence='-0.4461' uniform_dist='0.2331' corpus_dist='0.0666' token-doc-diff='0.0001' exclusivity='0.2357'>language</word>
<word rank='4' count='493' prob='0.02304' cumulative='0.15494' docs='37' word-length='8.0000' coherence='-0.4461' uniform_dist='0.1874' corpus_dist='0.0829' token-doc-diff='0.0000' exclusivity='0.7809'>feedback</word>
<word rank='5' count='388' prob='0.01813' cumulative='0.17307' docs='26' word-length='7.0000' coherence='-0.7762' uniform_dist='0.1431' corpus_dist='0.0397' token-doc-diff='0.0001' exclusivity='0.1655'>chatgpt</word>
<word rank='6' count='309' prob='0.01444' cumulative='0.18751' docs='4' word-length='9.0000' coherence='-2.9642' uniform_dist='0.1107' corpus_dist='0.0549' token-doc-diff='0.0079' exclusivity='0.7488'>mediation</word>
<word rank='7' count='248' prob='0.01159' cumulative='0.19909' docs='24' word-length='8.0000' coherence='-0.7773' uniform_dist='0.0863' corpus_dist='0.0174' token-doc-diff='0.0004' exclusivity='0.1186'>learning</word>
<word rank='8' count='233' prob='0.01089' cumulative='0.20998' docs='1' word-length='3.0000' coherence='-5.7155' uniform_dist='0.0804' corpus_dist='0.0449' token-doc-diff='0.0095' exclusivity='0.9976'>awf</word>
<word rank='9' count='232' prob='0.01084' cumulative='0.22082' docs='25' word-length='6.0000' coherence='-0.7337' uniform_dist='0.0800' corpus_dist='0.0310' token-doc-diff='0.0008' exclusivity='0.3681'>skills</word>
<word rank='10' count='200' prob='0.00934' cumulative='0.23017' docs='24' word-length='8.0000' coherence='-1.3765' uniform_dist='0.0676' corpus_dist='0.0256' token-doc-diff='0.0012' exclusivity='0.3476'>academic</word>
<word rank='11' count='157' prob='0.00734' cumulative='0.23750' docs='4' word-length='3.0000' coherence='-5.7155' uniform_dist='0.0513' corpus_dist='0.0302' token-doc-diff='0.0021' exclusivity='0.9789'>esp</word>
<word rank='12' count='153' prob='0.00715' cumulative='0.24465' docs='24' word-length='8.0000' coherence='-1.3765' uniform_dist='0.0498' corpus_dist='0.0056' token-doc-diff='0.0026' exclusivity='0.1019'>research</word>
<word rank='13' count='148' prob='0.00692' cumulative='0.25157' docs='31' word-length='7.0000' coherence='-0.7337' uniform_dist='0.0479' corpus_dist='0.0135' token-doc-diff='0.0055' exclusivity='0.1672'>english</word>
<word rank='14' count='148' prob='0.00692' cumulative='0.25848' docs='24' word-length='8.0000' coherence='-0.7762' uniform_dist='0.0479' corpus_dist='0.0092' token-doc-diff='0.0028' exclusivity='0.1885'>analysis</word>
<word rank='15' count='127' prob='0.00593' cumulative='0.26441' docs='23' word-length='5.0000' coherence='-0.9159' uniform_dist='0.0402' corpus_dist='0.0050' token-doc-diff='0.0033' exclusivity='0.0791'>study</word>
<word rank='16' count='116' prob='0.00542' cumulative='0.26983' docs='18' word-length='9.0000' coherence='-1.1389' uniform_dist='0.0362' corpus_dist='0.0147' token-doc-diff='0.0019' exclusivity='0.3584'>automated</word>
<word rank='17' count='112' prob='0.00523' cumulative='0.27507' docs='19' word-length='11.0000' coherence='-1.3765' uniform_dist='0.0348' corpus_dist='0.0057' token-doc-diff='0.0024' exclusivity='0.1239'>development</word>
<word rank='18' count='108' prob='0.00505' cumulative='0.28011' docs='17' word-length='8.0000' coherence='-1.0783' uniform_dist='0.0334' corpus_dist='0.0105' token-doc-diff='0.0018' exclusivity='0.4093'>provided</word>
<word rank='19' count='106' prob='0.00495' cumulative='0.28507' docs='8' word-length='9.0000' coherence='-4.3390' uniform_dist='0.0327' corpus_dist='0.0148' token-doc-diff='0.0000' exclusivity='0.3352'>chatgpt’s</word>
<word rank='20' count='104' prob='0.00486' cumulative='0.28993' docs='17' word-length='8.0000' coherence='-1.1389' uniform_dist='0.0320' corpus_dist='0.0096' token-doc-diff='0.0020' exclusivity='0.2205'>specific</word>
</topic>
<topic id='23' tokens='12385.0000' document_entropy='2.2216' word-length='7.9500' coherence='-415.4695' uniform_dist='4.6500' corpus_dist='3.4471' eff_num_words='485.0696' token-doc-diff='0.0360' rank_1_docs='0.0769' allocation_ratio='0.1000' allocation_count='0.0923' exclusivity='0.6052'>
<word rank='1' count='175' prob='0.01413' cumulative='0.01413' docs='11' word-length='12.0000' coherence='0.0000' uniform_dist='0.1080' corpus_dist='0.0531' token-doc-diff='0.0007' exclusivity='0.6665'>construction</word>
<word rank='2' count='152' prob='0.01227' cumulative='0.02640' docs='6' word-length='5.0000' coherence='-6.7250' uniform_dist='0.0921' corpus_dist='0.0548' token-doc-diff='0.0037' exclusivity='0.8941'>crime</word>
<word rank='3' count='116' prob='0.00937' cumulative='0.03577' docs='12' word-length='6.0000' coherence='-1.7808' uniform_dist='0.0677' corpus_dist='0.0137' token-doc-diff='0.0005' exclusivity='0.0719'>design</word>
<word rank='4' count='107' prob='0.00864' cumulative='0.04441' docs='7' word-length='8.0000' coherence='-1.7808' uniform_dist='0.0618' corpus_dist='0.0391' token-doc-diff='0.0003' exclusivity='0.9176'>interior</word>
<word rank='5' count='106' prob='0.00856' cumulative='0.05297' docs='8' word-length='10.0000' coherence='-6.2737' uniform_dist='0.0611' corpus_dist='0.0315' token-doc-diff='0.0000' exclusivity='0.6973'>population</word>
<word rank='6' count='106' prob='0.00856' cumulative='0.06153' docs='7' word-length='5.0000' coherence='-1.7808' uniform_dist='0.0611' corpus_dist='0.0146' token-doc-diff='0.0003' exclusivity='0.1737'>world</word>
<word rank='7' count='100' prob='0.00807' cumulative='0.06960' docs='5' word-length='10.0000' coherence='-2.3860' uniform_dist='0.0572' corpus_dist='0.0285' token-doc-diff='0.0012' exclusivity='0.5404'>well-being</word>
<word rank='8' count='99' prob='0.00799' cumulative='0.07759' docs='9' word-length='5.0000' coherence='-1.7808' uniform_dist='0.0566' corpus_dist='0.0202' token-doc-diff='0.0001' exclusivity='0.2820'>group</word>
<word rank='9' count='96' prob='0.00775' cumulative='0.08535' docs='10' word-length='6.0000' coherence='-6.1198' uniform_dist='0.0546' corpus_dist='0.0228' token-doc-diff='0.0005' exclusivity='0.5254'>degree</word>
<word rank='10' count='91' prob='0.00735' cumulative='0.09269' docs='4' word-length='12.0000' coherence='-6.4070' uniform_dist='0.0514' corpus_dist='0.0343' token-doc-diff='0.0017' exclusivity='0.9962'>multisensory</word>
<word rank='11' count='80' prob='0.00646' cumulative='0.09915' docs='9' word-length='8.0000' coherence='-6.7250' uniform_dist='0.0443' corpus_dist='0.0253' token-doc-diff='0.0007' exclusivity='0.7043'>temporal</word>
<word rank='12' count='78' prob='0.00630' cumulative='0.10545' docs='1' word-length='9.0000' coherence='-6.5246' uniform_dist='0.0431' corpus_dist='0.0293' token-doc-diff='0.0072' exclusivity='0.9879'>panoramic</word>
<word rank='13' count='76' prob='0.00614' cumulative='0.11159' docs='10' word-length='5.0000' coherence='-1.7808' uniform_dist='0.0418' corpus_dist='0.0160' token-doc-diff='0.0015' exclusivity='0.3315'>space</word>
<word rank='14' count='75' prob='0.00606' cumulative='0.11764' docs='4' word-length='5.0000' coherence='-6.4070' uniform_dist='0.0412' corpus_dist='0.0280' token-doc-diff='0.0007' exclusivity='0.9803'>hotel</word>
<word rank='15' count='75' prob='0.00606' cumulative='0.12370' docs='13' word-length='11.0000' coherence='-1.3765' uniform_dist='0.0412' corpus_dist='0.0184' token-doc-diff='0.0043' exclusivity='0.4971'>engineering</word>
<word rank='16' count='69' prob='0.00557' cumulative='0.12927' docs='5' word-length='10.0000' coherence='-6.7250' uniform_dist='0.0374' corpus_dist='0.0259' token-doc-diff='0.0001' exclusivity='0.9862'>timescales</word>
<word rank='17' count='65' prob='0.00525' cumulative='0.13452' docs='10' word-length='8.0000' coherence='-1.7808' uniform_dist='0.0349' corpus_dist='0.0151' token-doc-diff='0.0025' exclusivity='0.5106'>building</word>
<word rank='18' count='62' prob='0.00501' cumulative='0.13952' docs='1' word-length='6.0000' coherence='-6.8918' uniform_dist='0.0331' corpus_dist='0.0234' token-doc-diff='0.0049' exclusivity='0.9945'>supers</word>
<word rank='19' count='62' prob='0.00501' cumulative='0.14453' docs='6' word-length='8.0000' coherence='-6.1198' uniform_dist='0.0331' corpus_dist='0.0126' token-doc-diff='0.0001' exclusivity='0.2131'>industry</word>
<word rank='20' count='61' prob='0.00493' cumulative='0.14945' docs='12' word-length='10.0000' coherence='-6.1198' uniform_dist='0.0325' corpus_dist='0.0085' token-doc-diff='0.0051' exclusivity='0.1332'>experience</word>
</topic>
<topic id='24' tokens='17787.0000' document_entropy='2.4783' word-length='7.8500' coherence='-251.2967' uniform_dist='4.9293' corpus_dist='2.8714' eff_num_words='239.1206' token-doc-diff='0.0417' rank_1_docs='0.1373' allocation_ratio='0.0714' allocation_count='0.1176' exclusivity='0.3962'>
<word rank='1' count='553' prob='0.03109' cumulative='0.03109' docs='19' word-length='8.0000' coherence='0.0000' uniform_dist='0.2622' corpus_dist='0.0841' token-doc-diff='0.0068' exclusivity='0.3480'>students</word>
<word rank='2' count='538' prob='0.03025' cumulative='0.06134' docs='21' word-length='7.0000' coherence='-0.3051' uniform_dist='0.2542' corpus_dist='0.0945' token-doc-diff='0.0048' exclusivity='0.5011'>science</word>
<word rank='3' count='359' prob='0.02018' cumulative='0.08152' docs='22' word-length='8.0000' coherence='-0.2362' uniform_dist='0.1615' corpus_dist='0.0415' token-doc-diff='0.0002' exclusivity='0.2031'>learning</word>
<word rank='4' count='288' prob='0.01619' cumulative='0.09771' docs='21' word-length='9.0000' coherence='-0.3792' uniform_dist='0.1260' corpus_dist='0.0382' token-doc-diff='0.0000' exclusivity='0.2891'>education</word>
<word rank='5' count='190' prob='0.01068' cumulative='0.10839' docs='11' word-length='6.0000' coherence='-0.6925' uniform_dist='0.0787' corpus_dist='0.0425' token-doc-diff='0.0002' exclusivity='0.8380'>lesson</word>
<word rank='6' count='188' prob='0.01057' cumulative='0.11896' docs='18' word-length='9.0000' coherence='-0.3827' uniform_dist='0.0777' corpus_dist='0.0193' token-doc-diff='0.0007' exclusivity='0.2012'>knowledge</word>
<word rank='7' count='141' prob='0.00793' cumulative='0.12689' docs='17' word-length='8.0000' coherence='-0.4052' uniform_dist='0.0560' corpus_dist='0.0194' token-doc-diff='0.0018' exclusivity='0.3053'>teachers</word>
<word rank='8' count='136' prob='0.00765' cumulative='0.13454' docs='13' word-length='9.0000' coherence='-0.7877' uniform_dist='0.0538' corpus_dist='0.0241' token-doc-diff='0.0005' exclusivity='0.4293'>epistemic</word>
<word rank='9' count='128' prob='0.00720' cumulative='0.14173' docs='9' word-length='9.0000' coherence='-1.0974' uniform_dist='0.0502' corpus_dist='0.0177' token-doc-diff='0.0000' exclusivity='0.3023'>cognitive</word>
<word rank='10' count='127' prob='0.00714' cumulative='0.14887' docs='11' word-length='8.0000' coherence='-0.7877' uniform_dist='0.0497' corpus_dist='0.0184' token-doc-diff='0.0002' exclusivity='0.3009'>outcomes</word>
<word rank='11' count='120' prob='0.00675' cumulative='0.15562' docs='13' word-length='6.0000' coherence='-0.6461' uniform_dist='0.0466' corpus_dist='0.0087' token-doc-diff='0.0009' exclusivity='0.1208'>system</word>
<word rank='12' count='112' prob='0.00630' cumulative='0.16192' docs='15' word-length='7.0000' coherence='-0.7720' uniform_dist='0.0430' corpus_dist='0.0169' token-doc-diff='0.0022' exclusivity='0.3443'>student</word>
<word rank='13' count='108' prob='0.00607' cumulative='0.16799' docs='18' word-length='11.0000' coherence='-0.4591' uniform_dist='0.0413' corpus_dist='0.0151' token-doc-diff='0.0042' exclusivity='0.3265'>educational</word>
<word rank='14' count='103' prob='0.00579' cumulative='0.17378' docs='14' word-length='8.0000' coherence='-0.5257' uniform_dist='0.0391' corpus_dist='0.0116' token-doc-diff='0.0021' exclusivity='0.1841'>teaching</word>
<word rank='15' count='97' prob='0.00545' cumulative='0.17923' docs='8' word-length='5.0000' coherence='-2.1856' uniform_dist='0.0365' corpus_dist='0.0146' token-doc-diff='0.0001' exclusivity='0.2279'>robot</word>
<word rank='16' count='95' prob='0.00534' cumulative='0.18457' docs='1' word-length='9.0000' coherence='-6.8918' uniform_dist='0.0356' corpus_dist='0.0219' token-doc-diff='0.0046' exclusivity='0.8548'>executive</word>
<word rank='17' count='95' prob='0.00534' cumulative='0.18991' docs='15' word-length='5.0000' coherence='-0.6925' uniform_dist='0.0356' corpus_dist='0.0040' token-doc-diff='0.0032' exclusivity='0.0700'>study</word>
<word rank='18' count='94' prob='0.00528' cumulative='0.19520' docs='1' word-length='6.0000' coherence='-6.8918' uniform_dist='0.0352' corpus_dist='0.0228' token-doc-diff='0.0045' exclusivity='0.9949'>robobo</word>
<word rank='19' count='92' prob='0.00517' cumulative='0.20037' docs='9' word-length='12.0000' coherence='-1.1764' uniform_dist='0.0343' corpus_dist='0.0084' token-doc-diff='0.0004' exclusivity='0.1008'>participants</word>
<word rank='20' count='89' prob='0.00500' cumulative='0.20537' docs='1' word-length='7.0000' coherence='-6.8918' uniform_dist='0.0331' corpus_dist='0.0215' token-doc-diff='0.0041' exclusivity='0.9809'>deﬁcits</word>
</topic>
<topic id='25' tokens='22754.0000' document_entropy='3.7267' word-length='8.1000' coherence='-223.6749' uniform_dist='4.7157' corpus_dist='3.0148' eff_num_words='187.9481' token-doc-diff='0.0395' rank_1_docs='0.0923' allocation_ratio='0.0196' allocation_count='0.0923' exclusivity='0.5032'>
<word rank='1' count='949' prob='0.04171' cumulative='0.04171' docs='84' word-length='6.0000' coherence='0.0000' uniform_dist='0.3640' corpus_dist='0.1492' token-doc-diff='0.0065' exclusivity='0.6376'>images</word>
<word rank='2' count='905' prob='0.03977' cumulative='0.08148' docs='87' word-length='5.0000' coherence='-0.1967' uniform_dist='0.3452' corpus_dist='0.1470' token-doc-diff='0.0048' exclusivity='0.6736'>image</word>
<word rank='3' count='604' prob='0.02654' cumulative='0.10802' docs='59' word-length='3.0000' coherence='-0.6156' uniform_dist='0.2197' corpus_dist='0.0908' token-doc-diff='0.0030' exclusivity='0.5437'>art</word>
<word rank='4' count='206' prob='0.00905' cumulative='0.11708' docs='21' word-length='11.0000' coherence='-1.4346' uniform_dist='0.0652' corpus_dist='0.0368' token-doc-diff='0.0009' exclusivity='0.9971'>photography</word>
<word rank='5' count='191' prob='0.00839' cumulative='0.12547' docs='38' word-length='32.0000' coherence='-1.0644' uniform_dist='0.0598' corpus_dist='0.0240' token-doc-diff='0.0003' exclusivity='0.2734'>artificialintelligence-generated</word>
<word rank='6' count='182' prob='0.00800' cumulative='0.13347' docs='51' word-length='10.0000' coherence='-0.6930' uniform_dist='0.0566' corpus_dist='0.0129' token-doc-diff='0.0020' exclusivity='0.0857'>generative</word>
<word rank='7' count='177' prob='0.00778' cumulative='0.14125' docs='27' word-length='6.0000' coherence='-1.2524' uniform_dist='0.0548' corpus_dist='0.0299' token-doc-diff='0.0000' exclusivity='0.7354'>artist</word>
<word rank='8' count='176' prob='0.00773' cumulative='0.14898' docs='31' word-length='7.0000' coherence='-1.2075' uniform_dist='0.0545' corpus_dist='0.0288' token-doc-diff='0.0000' exclusivity='0.6351'>artists</word>
<word rank='9' count='151' prob='0.00664' cumulative='0.15562' docs='43' word-length='6.0000' coherence='-0.8197' uniform_dist='0.0457' corpus_dist='0.0201' token-doc-diff='0.0018' exclusivity='0.4252'>visual</word>
<word rank='10' count='139' prob='0.00611' cumulative='0.16173' docs='44' word-length='9.0000' coherence='-0.7769' uniform_dist='0.0416' corpus_dist='0.0121' token-doc-diff='0.0024' exclusivity='0.1789'>generated</word>
<word rank='11' count='131' prob='0.00576' cumulative='0.16749' docs='30' word-length='6.0000' coherence='-1.2075' uniform_dist='0.0388' corpus_dist='0.0164' token-doc-diff='0.0005' exclusivity='0.4757'>object</word>
<word rank='12' count='127' prob='0.00558' cumulative='0.17307' docs='41' word-length='4.0000' coherence='-0.8752' uniform_dist='0.0375' corpus_dist='0.0067' token-doc-diff='0.0023' exclusivity='0.1263'>work</word>
<word rank='13' count='122' prob='0.00536' cumulative='0.17843' docs='18' word-length='11.0000' coherence='-1.8440' uniform_dist='0.0358' corpus_dist='0.0215' token-doc-diff='0.0000' exclusivity='0.8989'>photographs</word>
<word rank='14' count='121' prob='0.00532' cumulative='0.18375' docs='31' word-length='8.0000' coherence='-1.5015' uniform_dist='0.0355' corpus_dist='0.0186' token-doc-diff='0.0009' exclusivity='0.5703'>artistic</word>
<word rank='15' count='106' prob='0.00466' cumulative='0.18841' docs='38' word-length='7.0000' coherence='-0.9393' uniform_dist='0.0304' corpus_dist='0.0039' token-doc-diff='0.0027' exclusivity='0.0798'>process</word>
<word rank='16' count='106' prob='0.00466' cumulative='0.19306' docs='33' word-length='4.0000' coherence='-1.1697' uniform_dist='0.0304' corpus_dist='0.0061' token-doc-diff='0.0017' exclusivity='0.0634'>text</word>
<word rank='17' count='102' prob='0.00448' cumulative='0.19755' docs='31' word-length='7.0000' coherence='-1.2467' uniform_dist='0.0291' corpus_dist='0.0123' token-doc-diff='0.0015' exclusivity='0.5187'>objects</word>
<word rank='18' count='101' prob='0.00444' cumulative='0.20199' docs='1' word-length='8.0000' coherence='-7.9638' uniform_dist='0.0288' corpus_dist='0.0180' token-doc-diff='0.0053' exclusivity='0.9941'>shanshui</word>
<word rank='19' count='92' prob='0.00404' cumulative='0.20603' docs='24' word-length='7.0000' coherence='-1.4209' uniform_dist='0.0258' corpus_dist='0.0163' token-doc-diff='0.0007' exclusivity='0.9674'>artwork</word>
<word rank='20' count='90' prob='0.00396' cumulative='0.20999' docs='32' word-length='5.0000' coherence='-1.2075' uniform_dist='0.0252' corpus_dist='0.0083' token-doc-diff='0.0022' exclusivity='0.1842'>works</word>
</topic>
<topic id='26' tokens='15520.0000' document_entropy='2.1402' word-length='6.8500' coherence='-312.5942' uniform_dist='4.7096' corpus_dist='3.1060' eff_num_words='468.5265' token-doc-diff='0.0471' rank_1_docs='0.1500' allocation_ratio='0.0833' allocation_count='0.1250' exclusivity='0.4865'>
<word rank='1' count='244' prob='0.01572' cumulative='0.01572' docs='12' word-length='11.0000' coherence='0.0000' uniform_dist='0.1219' corpus_dist='0.0621' token-doc-diff='0.0015' exclusivity='0.6923'>respondents</word>
<word rank='2' count='228' prob='0.01469' cumulative='0.03041' docs='6' word-length='6.0000' coherence='-2.4729' uniform_dist='0.1129' corpus_dist='0.0573' token-doc-diff='0.0075' exclusivity='0.7573'>causal</word>
<word rank='3' count='165' prob='0.01063' cumulative='0.04104' docs='7' word-length='5.0000' coherence='-1.3830' uniform_dist='0.0782' corpus_dist='0.0408' token-doc-diff='0.0018' exclusivity='0.7492'>covid</word>
<word rank='4' count='127' prob='0.00818' cumulative='0.04923' docs='3' word-length='7.0000' coherence='-6.1198' uniform_dist='0.0581' corpus_dist='0.0304' token-doc-diff='0.0049' exclusivity='0.4890'>cluster</word>
<word rank='5' count='126' prob='0.00812' cumulative='0.05735' docs='2' word-length='9.0000' coherence='-6.8119' uniform_dist='0.0576' corpus_dist='0.0358' token-doc-diff='0.0074' exclusivity='0.9637'>infection</word>
<word rank='6' count='125' prob='0.00805' cumulative='0.06540' docs='12' word-length='6.0000' coherence='-0.8739' uniform_dist='0.0570' corpus_dist='0.0185' token-doc-diff='0.0008' exclusivity='0.2516'>public</word>
<word rank='7' count='110' prob='0.00709' cumulative='0.07249' docs='12' word-length='4.0000' coherence='-1.0899' uniform_dist='0.0493' corpus_dist='0.0053' token-doc-diff='0.0015' exclusivity='0.0851'>data</word>
<word rank='8' count='102' prob='0.00657' cumulative='0.07906' docs='7' word-length='6.0000' coherence='-1.7863' uniform_dist='0.0452' corpus_dist='0.0176' token-doc-diff='0.0000' exclusivity='0.2279'>health</word>
<word rank='9' count='98' prob='0.00631' cumulative='0.08537' docs='15' word-length='6.0000' coherence='-0.6920' uniform_dist='0.0432' corpus_dist='0.0167' token-doc-diff='0.0049' exclusivity='0.3358'>groups</word>
<word rank='10' count='91' prob='0.00586' cumulative='0.09124' docs='4' word-length='4.0000' coherence='-6.8119' uniform_dist='0.0397' corpus_dist='0.0156' token-doc-diff='0.0009' exclusivity='0.2340'>llms</word>
<word rank='11' count='91' prob='0.00586' cumulative='0.09710' docs='13' word-length='6.0000' coherence='-1.3765' uniform_dist='0.0397' corpus_dist='0.0149' token-doc-diff='0.0036' exclusivity='0.2756'>survey</word>
<word rank='12' count='87' prob='0.00561' cumulative='0.10271' docs='9' word-length='5.0000' coherence='-1.3765' uniform_dist='0.0377' corpus_dist='0.0097' token-doc-diff='0.0009' exclusivity='0.1634'>level</word>
<word rank='13' count='85' prob='0.00548' cumulative='0.10818' docs='7' word-length='10.0000' coherence='-5.0256' uniform_dist='0.0367' corpus_dist='0.0193' token-doc-diff='0.0001' exclusivity='0.5948'>hypotheses</word>
<word rank='14' count='85' prob='0.00548' cumulative='0.11366' docs='9' word-length='5.0000' coherence='-5.0256' uniform_dist='0.0367' corpus_dist='0.0118' token-doc-diff='0.0010' exclusivity='0.1987'>group</word>
<word rank='15' count='84' prob='0.00541' cumulative='0.11907' docs='5' word-length='11.0000' coherence='-6.1198' uniform_dist='0.0362' corpus_dist='0.0224' token-doc-diff='0.0001' exclusivity='0.8194'>religiosity</word>
<word rank='16' count='83' prob='0.00535' cumulative='0.12442' docs='12' word-length='6.0000' coherence='-5.0256' uniform_dist='0.0357' corpus_dist='0.0146' token-doc-diff='0.0034' exclusivity='0.2714'>gender</word>
<word rank='17' count='82' prob='0.00528' cumulative='0.12970' docs='5' word-length='5.0000' coherence='-6.8119' uniform_dist='0.0352' corpus_dist='0.0201' token-doc-diff='0.0001' exclusivity='0.7631'>graph</word>
<word rank='18' count='82' prob='0.00528' cumulative='0.13499' docs='9' word-length='4.0000' coherence='-1.3765' uniform_dist='0.0352' corpus_dist='0.0171' token-doc-diff='0.0011' exclusivity='0.5887'>rate</word>
<word rank='19' count='76' prob='0.00490' cumulative='0.13988' docs='8' word-length='9.0000' coherence='-5.0256' uniform_dist='0.0322' corpus_dist='0.0125' token-doc-diff='0.0008' exclusivity='0.2748'>attitudes</word>
<word rank='20' count='73' prob='0.00470' cumulative='0.14459' docs='1' word-length='12.0000' coherence='-6.8119' uniform_dist='0.0308' corpus_dist='0.0209' token-doc-diff='0.0048' exclusivity='0.9943'>time-varying</word>
</topic>
<topic id='27' tokens='21220.0000' document_entropy='2.1882' word-length='8.0000' coherence='-129.1725' uniform_dist='4.5628' corpus_dist='2.9709' eff_num_words='488.0170' token-doc-diff='0.0317' rank_1_docs='0.0870' allocation_ratio='0.2667' allocation_count='0.1304' exclusivity='0.5566'>
<word rank='1' count='361' prob='0.01701' cumulative='0.01701' docs='18' word-length='5.0000' coherence='0.0000' uniform_dist='0.1332' corpus_dist='0.0596' token-doc-diff='0.0016' exclusivity='0.6013'>agent</word>
<word rank='2' count='276' prob='0.01301' cumulative='0.03002' docs='8' word-length='11.0000' coherence='-0.9433' uniform_dist='0.0984' corpus_dist='0.0471' token-doc-diff='0.0059' exclusivity='0.6810'>preferences</word>
<word rank='3' count='262' prob='0.01235' cumulative='0.04237' docs='17' word-length='9.0000' coherence='-0.4920' uniform_dist='0.0927' corpus_dist='0.0467' token-doc-diff='0.0001' exclusivity='0.8223'>alignment</word>
<word rank='4' count='188' prob='0.00886' cumulative='0.05123' docs='15' word-length='7.0000' coherence='-0.6924' uniform_dist='0.0636' corpus_dist='0.0332' token-doc-diff='0.0001' exclusivity='0.9042'>utility</word>
<word rank='5' count='178' prob='0.00839' cumulative='0.05961' docs='4' word-length='8.0000' coherence='-1.5015' uniform_dist='0.0598' corpus_dist='0.0347' token-doc-diff='0.0055' exclusivity='0.9968'>shutdown</word>
<word rank='6' count='170' prob='0.00801' cumulative='0.06762' docs='14' word-length='6.0000' coherence='-0.4349' uniform_dist='0.0567' corpus_dist='0.0227' token-doc-diff='0.0001' exclusivity='0.3420'>agents</word>
<word rank='7' count='145' prob='0.00683' cumulative='0.07446' docs='7' word-length='6.0000' coherence='-1.7881' uniform_dist='0.0473' corpus_dist='0.0272' token-doc-diff='0.0008' exclusivity='0.8532'>button</word>
<word rank='8' count='134' prob='0.00631' cumulative='0.08077' docs='4' word-length='12.0000' coherence='-1.9403' uniform_dist='0.0432' corpus_dist='0.0180' token-doc-diff='0.0027' exclusivity='0.3546'>stakeholders</word>
<word rank='9' count='127' prob='0.00598' cumulative='0.08676' docs='12' word-length='4.0000' coherence='-1.3765' uniform_dist='0.0406' corpus_dist='0.0162' token-doc-diff='0.0005' exclusivity='0.5060'>goal</word>
<word rank='10' count='125' prob='0.00589' cumulative='0.09265' docs='13' word-length='5.0000' coherence='-0.8448' uniform_dist='0.0399' corpus_dist='0.0167' token-doc-diff='0.0009' exclusivity='0.5130'>goals</word>
<word rank='11' count='124' prob='0.00584' cumulative='0.09849' docs='5' word-length='7.0000' coherence='-1.5015' uniform_dist='0.0395' corpus_dist='0.0239' token-doc-diff='0.0013' exclusivity='0.9877'>prefers</word>
<word rank='12' count='123' prob='0.00580' cumulative='0.10429' docs='14' word-length='22.0000' coherence='-0.8448' uniform_dist='0.0391' corpus_dist='-0.0075' token-doc-diff='0.0014' exclusivity='0.0191'>artificialintelligence</word>
<word rank='13' count='122' prob='0.00575' cumulative='0.11004' docs='10' word-length='6.0000' coherence='-1.3765' uniform_dist='0.0388' corpus_dist='0.0226' token-doc-diff='0.0001' exclusivity='0.8757'>reward</word>
<word rank='14' count='106' prob='0.00500' cumulative='0.11503' docs='11' word-length='6.0000' coherence='-0.8448' uniform_dist='0.0330' corpus_dist='0.0144' token-doc-diff='0.0007' exclusivity='0.3892'>choice</word>
<word rank='15' count='105' prob='0.00495' cumulative='0.11998' docs='5' word-length='10.0000' coherence='-1.9347' uniform_dist='0.0326' corpus_dist='0.0204' token-doc-diff='0.0006' exclusivity='0.9947'>bargaining</word>
<word rank='16' count='104' prob='0.00490' cumulative='0.12488' docs='15' word-length='7.0000' coherence='-1.2481' uniform_dist='0.0323' corpus_dist='0.0030' token-doc-diff='0.0030' exclusivity='0.0718'>systems</word>
<word rank='17' count='103' prob='0.00485' cumulative='0.12974' docs='14' word-length='6.0000' coherence='-0.8448' uniform_dist='0.0319' corpus_dist='0.0079' token-doc-diff='0.0024' exclusivity='0.1667'>theory</word>
<word rank='18' count='99' prob='0.00467' cumulative='0.13440' docs='13' word-length='7.0000' coherence='-0.8448' uniform_dist='0.0305' corpus_dist='0.0080' token-doc-diff='0.0020' exclusivity='0.1541'>problem</word>
<word rank='19' count='98' prob='0.00462' cumulative='0.13902' docs='6' word-length='10.0000' coherence='-1.2481' uniform_dist='0.0301' corpus_dist='0.0162' token-doc-diff='0.0001' exclusivity='0.6395'>preference</word>
<word rank='20' count='98' prob='0.00462' cumulative='0.14364' docs='13' word-length='6.0000' coherence='-0.7611' uniform_dist='0.0301' corpus_dist='0.0118' token-doc-diff='0.0021' exclusivity='0.2590'>safety</word>
</topic>
<topic id='28' tokens='10972.0000' document_entropy='2.3816' word-length='7.9500' coherence='-423.4703' uniform_dist='4.6658' corpus_dist='3.5508' eff_num_words='348.4284' token-doc-diff='0.0417' rank_1_docs='0.0893' allocation_ratio='0.0909' allocation_count='0.0536' exclusivity='0.5792'>
<word rank='1' count='275' prob='0.02506' cumulative='0.02506' docs='10' word-length='12.0000' coherence='0.0000' uniform_dist='0.2060' corpus_dist='0.1087' token-doc-diff='0.0087' exclusivity='0.8945'>manipulation</word>
<word rank='2' count='243' prob='0.02215' cumulative='0.04721' docs='14' word-length='10.0000' coherence='-1.2009' uniform_dist='0.1793' corpus_dist='0.0584' token-doc-diff='0.0022' exclusivity='0.2186'>generative</word>
<word rank='3' count='149' prob='0.01358' cumulative='0.06079' docs='3' word-length='11.0000' coherence='-2.6269' uniform_dist='0.1033' corpus_dist='0.0624' token-doc-diff='0.0099' exclusivity='0.8779'>transcripts</word>
<word rank='4' count='134' prob='0.01221' cumulative='0.07300' docs='12' word-length='6.0000' coherence='-1.0899' uniform_dist='0.0916' corpus_dist='0.0460' token-doc-diff='0.0000' exclusivity='0.5634'>actors</word>
<word rank='5' count='118' prob='0.01075' cumulative='0.08376' docs='11' word-length='9.0000' coherence='-1.0964' uniform_dist='0.0793' corpus_dist='0.0462' token-doc-diff='0.0000' exclusivity='0.7866'>synthetic</word>
<word rank='6' count='114' prob='0.01039' cumulative='0.09415' docs='14' word-length='9.0000' coherence='-1.6994' uniform_dist='0.0762' corpus_dist='0.0340' token-doc-diff='0.0011' exclusivity='0.4548'>influence</word>
<word rank='7' count='90' prob='0.00820' cumulative='0.10235' docs='4' word-length='10.0000' coherence='-2.2908' uniform_dist='0.0582' corpus_dist='0.0381' token-doc-diff='0.0019' exclusivity='0.9782'>transcript</word>
<word rank='8' count='82' prob='0.00747' cumulative='0.10983' docs='13' word-length='6.0000' coherence='-1.6994' uniform_dist='0.0524' corpus_dist='0.0115' token-doc-diff='0.0026' exclusivity='0.1676'>social</word>
<word rank='9' count='81' prob='0.00738' cumulative='0.11721' docs='10' word-length='6.0000' coherence='-1.3765' uniform_dist='0.0516' corpus_dist='0.0090' token-doc-diff='0.0008' exclusivity='0.0557'>design</word>
<word rank='10' count='79' prob='0.00720' cumulative='0.12441' docs='10' word-length='5.0000' coherence='-5.7155' uniform_dist='0.0502' corpus_dist='0.0206' token-doc-diff='0.0009' exclusivity='0.2635'>truth</word>
<word rank='11' count='69' prob='0.00629' cumulative='0.13070' docs='4' word-length='17.0000' coherence='-6.8119' uniform_dist='0.0430' corpus_dist='0.0291' token-doc-diff='0.0006' exclusivity='0.9722'>conceptualisation</word>
<word rank='12' count='62' prob='0.00565' cumulative='0.13635' docs='10' word-length='4.0000' coherence='-2.2908' uniform_dist='0.0380' corpus_dist='0.0141' token-doc-diff='0.0021' exclusivity='0.4254'>show</word>
<word rank='13' count='59' prob='0.00538' cumulative='0.14172' docs='12' word-length='4.0000' coherence='-1.3765' uniform_dist='0.0359' corpus_dist='0.0130' token-doc-diff='0.0042' exclusivity='0.3794'>real</word>
<word rank='14' count='57' prob='0.00520' cumulative='0.14692' docs='4' word-length='9.0000' coherence='-6.7250' uniform_dist='0.0345' corpus_dist='0.0202' token-doc-diff='0.0001' exclusivity='0.7478'>criterion</word>
<word rank='15' count='55' prob='0.00501' cumulative='0.15193' docs='4' word-length='8.0000' coherence='-6.7250' uniform_dist='0.0331' corpus_dist='0.0240' token-doc-diff='0.0001' exclusivity='0.9944'>sociétés</word>
<word rank='16' count='55' prob='0.00501' cumulative='0.15694' docs='12' word-length='4.0000' coherence='-5.7155' uniform_dist='0.0331' corpus_dist='0.0166' token-doc-diff='0.0048' exclusivity='0.4143'>news</word>
<word rank='17' count='55' prob='0.00501' cumulative='0.16196' docs='3' word-length='8.0000' coherence='-6.9659' uniform_dist='0.0331' corpus_dist='0.0230' token-doc-diff='0.0006' exclusivity='0.8880'>judicial</word>
<word rank='18' count='54' prob='0.00492' cumulative='0.16688' docs='6' word-length='7.0000' coherence='-5.7155' uniform_dist='0.0324' corpus_dist='0.0203' token-doc-diff='0.0002' exclusivity='0.8625'>organic</word>
<word rank='19' count='53' prob='0.00483' cumulative='0.17171' docs='5' word-length='4.0000' coherence='-6.6298' uniform_dist='0.0317' corpus_dist='0.0166' token-doc-diff='0.0000' exclusivity='0.4467'>talk</word>
<word rank='20' count='51' prob='0.00465' cumulative='0.17636' docs='7' word-length='10.0000' coherence='-5.7155' uniform_dist='0.0304' corpus_dist='0.0097' token-doc-diff='0.0009' exclusivity='0.1925'>creativity</word>
</topic>
<topic id='29' tokens='10517.0000' document_entropy='1.6972' word-length='8.0000' coherence='-388.2564' uniform_dist='4.4675' corpus_dist='3.8418' eff_num_words='559.0038' token-doc-diff='0.0815' rank_1_docs='0.3750' allocation_ratio='0.2500' allocation_count='0.2500' exclusivity='0.6672'>
<word rank='1' count='178' prob='0.01692' cumulative='0.01692' docs='1' word-length='7.0000' coherence='0.0000' uniform_dist='0.1324' corpus_dist='0.0755' token-doc-diff='0.0218' exclusivity='0.8042'>lottery</word>
<word rank='2' count='128' prob='0.01217' cumulative='0.02910' docs='4' word-length='5.0000' coherence='0.0000' uniform_dist='0.0912' corpus_dist='0.0494' token-doc-diff='0.0002' exclusivity='0.7207'>women</word>
<word rank='3' count='125' prob='0.01189' cumulative='0.04098' docs='1' word-length='6.0000' coherence='-1.3765' uniform_dist='0.0888' corpus_dist='0.0570' token-doc-diff='0.0119' exclusivity='0.9665'>rhymes</word>
<word rank='4' count='87' prob='0.00827' cumulative='0.04925' docs='4' word-length='10.0000' coherence='-0.2866' uniform_dist='0.0588' corpus_dist='0.0274' token-doc-diff='0.0006' exclusivity='0.5177'>collection</word>
<word rank='5' count='85' prob='0.00808' cumulative='0.05734' docs='7' word-length='3.0000' coherence='0.0000' uniform_dist='0.0573' corpus_dist='0.0323' token-doc-diff='0.0080' exclusivity='0.6942'>men</word>
<word rank='6' count='82' prob='0.00780' cumulative='0.06513' docs='1' word-length='9.0000' coherence='-6.2737' uniform_dist='0.0550' corpus_dist='0.0377' token-doc-diff='0.0049' exclusivity='0.9964'>acupoints</word>
<word rank='7' count='72' prob='0.00685' cumulative='0.07198' docs='6' word-length='8.0000' coherence='-0.5582' uniform_dist='0.0474' corpus_dist='0.0183' token-doc-diff='0.0071' exclusivity='0.3870'>patterns</word>
<word rank='8' count='68' prob='0.00647' cumulative='0.07844' docs='1' word-length='11.0000' coherence='-4.3390' uniform_dist='0.0444' corpus_dist='0.0313' token-doc-diff='0.0031' exclusivity='0.9957'>autochromes</word>
<word rank='9' count='60' prob='0.00571' cumulative='0.08415' docs='4' word-length='7.0000' coherence='-1.2481' uniform_dist='0.0384' corpus_dist='0.0193' token-doc-diff='0.0029' exclusivity='0.5561'>pattern</word>
<word rank='10' count='59' prob='0.00561' cumulative='0.08976' docs='1' word-length='11.0000' coherence='-6.2737' uniform_dist='0.0377' corpus_dist='0.0271' token-doc-diff='0.0020' exclusivity='0.9950'>acupuncture</word>
<word rank='11' count='58' prob='0.00551' cumulative='0.09527' docs='1' word-length='6.0000' coherence='-4.3390' uniform_dist='0.0370' corpus_dist='0.0267' token-doc-diff='0.0019' exclusivity='0.9949'>gadmer</word>
<word rank='12' count='57' prob='0.00542' cumulative='0.10069' docs='1' word-length='8.0000' coherence='-4.3390' uniform_dist='0.0362' corpus_dist='0.0260' token-doc-diff='0.0018' exclusivity='0.9866'>frédéric</word>
<word rank='13' count='47' prob='0.00447' cumulative='0.10516' docs='4' word-length='6.0000' coherence='-4.3390' uniform_dist='0.0290' corpus_dist='0.0114' token-doc-diff='0.0049' exclusivity='0.2154'>gender</word>
<word rank='14' count='44' prob='0.00418' cumulative='0.10935' docs='1' word-length='5.0000' coherence='-4.3390' uniform_dist='0.0269' corpus_dist='0.0195' token-doc-diff='0.0006' exclusivity='0.8670'>rhyme</word>
<word rank='15' count='44' prob='0.00418' cumulative='0.11353' docs='4' word-length='9.0000' coherence='-1.2481' uniform_dist='0.0269' corpus_dist='0.0104' token-doc-diff='0.0055' exclusivity='0.1833'>countries</word>
<word rank='16' count='44' prob='0.00418' cumulative='0.11771' docs='2' word-length='14.0000' coherence='-4.3390' uniform_dist='0.0269' corpus_dist='0.0138' token-doc-diff='0.0003' exclusivity='0.4360'>identification</word>
<word rank='17' count='43' prob='0.00409' cumulative='0.12180' docs='1' word-length='8.0000' coherence='-6.2737' uniform_dist='0.0262' corpus_dist='0.0198' token-doc-diff='0.0006' exclusivity='0.9931'>acupoint</word>
<word rank='18' count='42' prob='0.00399' cumulative='0.12580' docs='2' word-length='8.0000' coherence='-5.0256' uniform_dist='0.0255' corpus_dist='0.0178' token-doc-diff='0.0004' exclusivity='0.7614'>metadata</word>
<word rank='19' count='39' prob='0.00371' cumulative='0.12950' docs='3' word-length='12.0000' coherence='-5.0256' uniform_dist='0.0234' corpus_dist='0.0048' token-doc-diff='0.0030' exclusivity='0.0677'>participants</word>
<word rank='20' count='38' prob='0.00361' cumulative='0.13312' docs='1' word-length='7.0000' coherence='-5.7155' uniform_dist='0.0227' corpus_dist='0.0105' token-doc-diff='0.0003' exclusivity='0.2051'>cluster</word>
</topic>
<topic id='30' tokens='14915.0000' document_entropy='2.3320' word-length='8.7500' coherence='-300.3103' uniform_dist='4.7929' corpus_dist='3.2592' eff_num_words='391.4784' token-doc-diff='0.0314' rank_1_docs='0.0877' allocation_ratio='0.1538' allocation_count='0.1053' exclusivity='0.5028'>
<word rank='1' count='372' prob='0.02494' cumulative='0.02494' docs='20' word-length='11.0000' coherence='0.0000' uniform_dist='0.2048' corpus_dist='0.0995' token-doc-diff='0.0038' exclusivity='0.7049'>translation</word>
<word rank='2' count='215' prob='0.01442' cumulative='0.03936' docs='12' word-length='10.0000' coherence='-1.2024' uniform_dist='0.1105' corpus_dist='0.0577' token-doc-diff='0.0019' exclusivity='0.7393'>competence</word>
<word rank='3' count='177' prob='0.01187' cumulative='0.05122' docs='20' word-length='8.0000' coherence='-0.8739' uniform_dist='0.0886' corpus_dist='0.0181' token-doc-diff='0.0007' exclusivity='0.0965'>language</word>
<word rank='4' count='120' prob='0.00805' cumulative='0.05927' docs='11' word-length='12.0000' coherence='-1.3843' uniform_dist='0.0570' corpus_dist='0.0167' token-doc-diff='0.0000' exclusivity='0.1539'>participants</word>
<word rank='5' count='117' prob='0.00784' cumulative='0.06711' docs='6' word-length='5.0000' coherence='-2.2967' uniform_dist='0.0554' corpus_dist='0.0232' token-doc-diff='0.0014' exclusivity='0.3935'>legal</word>
<word rank='6' count='112' prob='0.00751' cumulative='0.07462' docs='11' word-length='5.0000' coherence='-1.3843' uniform_dist='0.0527' corpus_dist='0.0161' token-doc-diff='0.0001' exclusivity='0.2268'>table</word>
<word rank='7' count='95' prob='0.00637' cumulative='0.08099' docs='5' word-length='12.0000' coherence='-6.1198' uniform_dist='0.0436' corpus_dist='0.0286' token-doc-diff='0.0011' exclusivity='0.9957'>interpreters</word>
<word rank='8' count='93' prob='0.00624' cumulative='0.08723' docs='15' word-length='7.0000' coherence='-1.0486' uniform_dist='0.0426' corpus_dist='0.0115' token-doc-diff='0.0026' exclusivity='0.1455'>english</word>
<word rank='9' count='92' prob='0.00617' cumulative='0.09340' docs='4' word-length='10.0000' coherence='-6.8119' uniform_dist='0.0420' corpus_dist='0.0255' token-doc-diff='0.0017' exclusivity='0.8269'>inferences</word>
<word rank='10' count='90' prob='0.00603' cumulative='0.09943' docs='6' word-length='13.0000' coherence='-5.7155' uniform_dist='0.0410' corpus_dist='0.0208' token-doc-diff='0.0003' exclusivity='0.5284'>conversations</word>
<word rank='11' count='89' prob='0.00597' cumulative='0.10540' docs='1' word-length='6.0000' coherence='-6.8119' uniform_dist='0.0405' corpus_dist='0.0268' token-doc-diff='0.0075' exclusivity='0.9955'>genait</word>
<word rank='12' count='88' prob='0.00590' cumulative='0.11130' docs='13' word-length='5.0000' coherence='-5.7155' uniform_dist='0.0400' corpus_dist='0.0131' token-doc-diff='0.0017' exclusivity='0.1341'>texts</word>
<word rank='13' count='87' prob='0.00583' cumulative='0.11713' docs='7' word-length='13.0000' coherence='-5.9379' uniform_dist='0.0394' corpus_dist='0.0222' token-doc-diff='0.0000' exclusivity='0.8659'>institutional</word>
<word rank='14' count='84' prob='0.00563' cumulative='0.12276' docs='8' word-length='6.0000' coherence='-5.7155' uniform_dist='0.0379' corpus_dist='0.0172' token-doc-diff='0.0000' exclusivity='0.4023'>speech</word>
<word rank='15' count='79' prob='0.00530' cumulative='0.12806' docs='7' word-length='10.0000' coherence='-5.7155' uniform_dist='0.0353' corpus_dist='0.0237' token-doc-diff='0.0000' exclusivity='0.9804'>translator</word>
<word rank='16' count='76' prob='0.00510' cumulative='0.13315' docs='13' word-length='10.0000' coherence='-5.7155' uniform_dist='0.0338' corpus_dist='0.0149' token-doc-diff='0.0026' exclusivity='0.3594'>linguistic</word>
<word rank='17' count='76' prob='0.00510' cumulative='0.13825' docs='12' word-length='5.0000' coherence='-1.3830' uniform_dist='0.0338' corpus_dist='0.0036' token-doc-diff='0.0019' exclusivity='0.0655'>study</word>
<word rank='18' count='74' prob='0.00496' cumulative='0.14321' docs='6' word-length='8.0000' coherence='-6.2737' uniform_dist='0.0327' corpus_dist='0.0137' token-doc-diff='0.0000' exclusivity='0.3286'>dialogue</word>
<word rank='19' count='73' prob='0.00489' cumulative='0.14811' docs='10' word-length='12.0000' coherence='-5.7155' uniform_dist='0.0322' corpus_dist='0.0173' token-doc-diff='0.0010' exclusivity='0.6615'>interpreting</word>
<word rank='20' count='72' prob='0.00483' cumulative='0.15293' docs='13' word-length='7.0000' coherence='-4.3390' uniform_dist='0.0317' corpus_dist='0.0169' token-doc-diff='0.0030' exclusivity='0.4516'>speaker</word>
</topic>
<topic id='31' tokens='29457.0000' document_entropy='4.3372' word-length='9.8000' coherence='-72.2001' uniform_dist='5.2637' corpus_dist='2.9700' eff_num_words='152.7518' token-doc-diff='0.0441' rank_1_docs='0.0075' allocation_ratio='0.0000' allocation_count='0.0000' exclusivity='0.6660'>
<word rank='1' count='1085' prob='0.03683' cumulative='0.03683' docs='56' word-length='30.0000' coherence='0.0000' uniform_dist='0.3169' corpus_dist='0.1344' token-doc-diff='0.0133' exclusivity='0.8417'>social_sciences_communications</word>
<word rank='2' count='1048' prob='0.03558' cumulative='0.07241' docs='67' word-length='10.0000' coherence='-0.0180' uniform_dist='0.3048' corpus_dist='0.1243' token-doc-diff='0.0097' exclusivity='0.7209'>humanities</word>
<word rank='3' count='914' prob='0.03103' cumulative='0.10344' docs='90' word-length='9.0000' coherence='-0.1442' uniform_dist='0.2616' corpus_dist='0.1132' token-doc-diff='0.0033' exclusivity='0.8038'>artiﬁcial</word>
<word rank='4' count='616' prob='0.02091' cumulative='0.12435' docs='81' word-length='7.0000' coherence='-0.1823' uniform_dist='0.1681' corpus_dist='0.0535' token-doc-diff='0.0006' exclusivity='0.3484'>article</word>
<word rank='5' count='557' prob='0.01891' cumulative='0.14326' docs='91' word-length='12.0000' coherence='-0.1973' uniform_dist='0.1501' corpus_dist='0.0482' token-doc-diff='0.0000' exclusivity='0.2681'>intelligence</word>
<word rank='6' count='475' prob='0.01613' cumulative='0.15938' docs='81' word-length='22.0000' coherence='-0.2342' uniform_dist='0.1254' corpus_dist='0.0556' token-doc-diff='0.0000' exclusivity='0.6367'>artiﬁcial_intelligence</word>
<word rank='7' count='425' prob='0.01443' cumulative='0.17381' docs='87' word-length='7.0000' coherence='-0.1793' uniform_dist='0.1106' corpus_dist='0.0548' token-doc-diff='0.0002' exclusivity='0.9842'>speciﬁc</word>
<word rank='8' count='415' prob='0.01409' cumulative='0.18790' docs='86' word-length='4.0000' coherence='-0.2068' uniform_dist='0.1077' corpus_dist='0.0517' token-doc-diff='0.0003' exclusivity='0.8308'>ﬁrst</word>
<word rank='9' count='340' prob='0.01154' cumulative='0.19944' docs='78' word-length='10.0000' coherence='-0.2481' uniform_dist='0.0859' corpus_dist='0.0395' token-doc-diff='0.0005' exclusivity='0.6127'>signiﬁcant</word>
<word rank='10' count='314' prob='0.01066' cumulative='0.21010' docs='76' word-length='4.0000' coherence='-0.2913' uniform_dist='0.0785' corpus_dist='0.0404' token-doc-diff='0.0007' exclusivity='0.9817'>ﬁeld</word>
<word rank='11' count='232' prob='0.00788' cumulative='0.21798' docs='64' word-length='8.0000' coherence='-0.4503' uniform_dist='0.0556' corpus_dist='0.0251' token-doc-diff='0.0011' exclusivity='0.5503'>inﬂuence</word>
<word rank='12' count='224' prob='0.00760' cumulative='0.22558' docs='56' word-length='7.0000' coherence='-0.5987' uniform_dist='0.0534' corpus_dist='0.0243' token-doc-diff='0.0006' exclusivity='0.4697'>ﬁndings</word>
<word rank='13' count='202' prob='0.00686' cumulative='0.23244' docs='59' word-length='5.0000' coherence='-0.5405' uniform_dist='0.0475' corpus_dist='0.0068' token-doc-diff='0.0012' exclusivity='0.0935'>study</word>
<word rank='14' count='199' prob='0.00676' cumulative='0.23920' docs='62' word-length='9.0000' coherence='-0.4625' uniform_dist='0.0467' corpus_dist='0.0257' token-doc-diff='0.0015' exclusivity='0.9962'>identiﬁed</word>
<word rank='15' count='183' prob='0.00621' cumulative='0.24541' docs='53' word-length='7.0000' coherence='-0.6189' uniform_dist='0.0424' corpus_dist='0.0236' token-doc-diff='0.0010' exclusivity='0.9958'>beneﬁts</word>
<word rank='16' count='172' prob='0.00584' cumulative='0.25125' docs='61' word-length='8.0000' coherence='-0.5218' uniform_dist='0.0395' corpus_dist='0.0129' token-doc-diff='0.0021' exclusivity='0.4012'>material</word>
<word rank='17' count='164' prob='0.00557' cumulative='0.25682' docs='56' word-length='12.0000' coherence='-0.5987' uniform_dist='0.0374' corpus_dist='0.0185' token-doc-diff='0.0017' exclusivity='0.5667'>signiﬁcantly</word>
<word rank='18' count='154' prob='0.00523' cumulative='0.26204' docs='48' word-length='11.0000' coherence='-0.7470' uniform_dist='0.0348' corpus_dist='0.0195' token-doc-diff='0.0012' exclusivity='0.8509'>signiﬁcance</word>
<word rank='19' count='151' prob='0.00513' cumulative='0.26717' docs='68' word-length='11.0000' coherence='-0.4736' uniform_dist='0.0340' corpus_dist='0.0180' token-doc-diff='0.0036' exclusivity='0.6649'>speciﬁcally</word>
<word rank='20' count='135' prob='0.00458' cumulative='0.27175' docs='46' word-length='3.0000' coherence='-0.7971' uniform_dist='0.0299' corpus_dist='0.0157' token-doc-diff='0.0014' exclusivity='0.7020'>int</word>
</topic>
<topic id='32' tokens='10846.0000' document_entropy='2.5687' word-length='6.8000' coherence='-304.2253' uniform_dist='4.9188' corpus_dist='3.6630' eff_num_words='322.2296' token-doc-diff='0.0368' rank_1_docs='0.0769' allocation_ratio='0.0000' allocation_count='0.0308' exclusivity='0.5577'>
<word rank='1' count='187' prob='0.01724' cumulative='0.01724' docs='25' word-length='7.0000' coherence='0.0000' uniform_dist='0.1352' corpus_dist='0.0772' token-doc-diff='0.0002' exclusivity='0.8802'>workers</word>
<word rank='2' count='180' prob='0.01660' cumulative='0.03384' docs='16' word-length='10.0000' coherence='-0.5794' uniform_dist='0.1295' corpus_dist='0.0756' token-doc-diff='0.0008' exclusivity='0.9447'>employment</word>
<word rank='3' count='165' prob='0.01521' cumulative='0.04905' docs='9' word-length='4.0000' coherence='-2.5197' uniform_dist='0.1174' corpus_dist='0.0598' token-doc-diff='0.0040' exclusivity='0.7090'>move</word>
<word rank='4' count='146' prob='0.01346' cumulative='0.06251' docs='19' word-length='3.0000' coherence='-0.9795' uniform_dist='0.1023' corpus_dist='0.0481' token-doc-diff='0.0001' exclusivity='0.5535'>job</word>
<word rank='5' count='134' prob='0.01235' cumulative='0.07487' docs='5' word-length='9.0000' coherence='-7.2710' uniform_dist='0.0928' corpus_dist='0.0572' token-doc-diff='0.0060' exclusivity='0.9480'>abstracts</word>
<word rank='6' count='133' prob='0.01226' cumulative='0.08713' docs='4' word-length='7.0000' coherence='-6.5246' uniform_dist='0.0920' corpus_dist='0.0589' token-doc-diff='0.0076' exclusivity='0.9977'>burnout</word>
<word rank='7' count='130' prob='0.01199' cumulative='0.09911' docs='11' word-length='6.0000' coherence='-5.9379' uniform_dist='0.0897' corpus_dist='0.0485' token-doc-diff='0.0007' exclusivity='0.6094'>labour</word>
<word rank='8' count='127' prob='0.01171' cumulative='0.11082' docs='19' word-length='4.0000' coherence='-1.0207' uniform_dist='0.0873' corpus_dist='0.0227' token-doc-diff='0.0005' exclusivity='0.2438'>work</word>
<word rank='9' count='111' prob='0.01023' cumulative='0.12106' docs='17' word-length='8.0000' coherence='-1.5989' uniform_dist='0.0749' corpus_dist='0.0116' token-doc-diff='0.0005' exclusivity='0.1350'>research</word>
<word rank='10' count='88' prob='0.00811' cumulative='0.12917' docs='16' word-length='4.0000' coherence='-5.9379' uniform_dist='0.0575' corpus_dist='0.0346' token-doc-diff='0.0012' exclusivity='0.8700'>jobs</word>
<word rank='11' count='84' prob='0.00774' cumulative='0.13692' docs='13' word-length='8.0000' coherence='-1.5989' uniform_dist='0.0545' corpus_dist='0.0225' token-doc-diff='0.0004' exclusivity='0.3343'>adoption</word>
<word rank='12' count='79' prob='0.00728' cumulative='0.14420' docs='2' word-length='6.0000' coherence='-6.7250' uniform_dist='0.0509' corpus_dist='0.0305' token-doc-diff='0.0052' exclusivity='0.9145'>stress</word>
<word rank='13' count='74' prob='0.00682' cumulative='0.15102' docs='13' word-length='8.0000' coherence='-5.9379' uniform_dist='0.0472' corpus_dist='0.0193' token-doc-diff='0.0008' exclusivity='0.2849'>industry</word>
<word rank='14' count='73' prob='0.00673' cumulative='0.15775' docs='6' word-length='10.0000' coherence='-5.9379' uniform_dist='0.0465' corpus_dist='0.0253' token-doc-diff='0.0005' exclusivity='0.6546'>statistics</word>
<word rank='15' count='68' prob='0.00627' cumulative='0.16402' docs='13' word-length='7.0000' coherence='-1.5989' uniform_dist='0.0428' corpus_dist='0.0085' token-doc-diff='0.0012' exclusivity='0.0944'>article</word>
<word rank='16' count='67' prob='0.00618' cumulative='0.17020' docs='13' word-length='6.0000' coherence='-5.9379' uniform_dist='0.0421' corpus_dist='0.0219' token-doc-diff='0.0012' exclusivity='0.5216'>demand</word>
<word rank='17' count='62' prob='0.00572' cumulative='0.17592' docs='11' word-length='6.0000' coherence='-5.9379' uniform_dist='0.0385' corpus_dist='0.0127' token-doc-diff='0.0007' exclusivity='0.1795'>skills</word>
<word rank='18' count='61' prob='0.00562' cumulative='0.18154' docs='9' word-length='7.0000' coherence='-6.7250' uniform_dist='0.0378' corpus_dist='0.0210' token-doc-diff='0.0002' exclusivity='0.4635'>writers</word>
<word rank='19' count='61' prob='0.00562' cumulative='0.18717' docs='18' word-length='10.0000' coherence='-5.9379' uniform_dist='0.0378' corpus_dist='0.0174' token-doc-diff='0.0048' exclusivity='0.4464'>automation</word>
<word rank='20' count='61' prob='0.00562' cumulative='0.19279' docs='9' word-length='6.0000' coherence='-5.9379' uniform_dist='0.0378' corpus_dist='0.0172' token-doc-diff='0.0002' exclusivity='0.3692'>market</word>
</topic>
<topic id='33' tokens='120350.0000' document_entropy='5.3788' word-length='8.7500' coherence='-84.4893' uniform_dist='5.6189' corpus_dist='1.5021' eff_num_words='34.5451' token-doc-diff='0.1449' rank_1_docs='0.0675' allocation_ratio='0.0000' allocation_count='0.0184' exclusivity='0.2516'>
<word rank='1' count='19657' prob='0.16333' cumulative='0.16333' docs='313' word-length='22.0000' coherence='0.0000' uniform_dist='1.6484' corpus_dist='0.3341' token-doc-diff='0.0934' exclusivity='0.5788'>artificialintelligence</word>
<word rank='2' count='3258' prob='0.02707' cumulative='0.19040' docs='271' word-length='10.0000' coherence='-0.1552' uniform_dist='0.2245' corpus_dist='0.0605' token-doc-diff='0.0006' exclusivity='0.6023'>technology</word>
<word rank='3' count='1783' prob='0.01482' cumulative='0.20522' docs='240' word-length='12.0000' coherence='-0.2697' uniform_dist='0.1140' corpus_dist='0.0333' token-doc-diff='0.0004' exclusivity='0.7330'>technologies</word>
<word rank='4' count='1215' prob='0.01010' cumulative='0.21531' docs='228' word-length='4.0000' coherence='-0.3168' uniform_dist='0.0738' corpus_dist='0.0111' token-doc-diff='0.0017' exclusivity='0.1342'>data</word>
<word rank='5' count='1077' prob='0.00895' cumulative='0.22426' docs='233' word-length='11.0000' coherence='-0.3038' uniform_dist='0.0643' corpus_dist='0.0146' token-doc-diff='0.0026' exclusivity='0.2274'>development</word>
<word rank='6' count='993' prob='0.00825' cumulative='0.23251' docs='211' word-length='6.0000' coherence='-0.4038' uniform_dist='0.0586' corpus_dist='0.0135' token-doc-diff='0.0022' exclusivity='0.2144'>social</word>
<word rank='7' count='961' prob='0.00799' cumulative='0.24050' docs='207' word-length='7.0000' coherence='-0.4183' uniform_dist='0.0565' corpus_dist='0.0178' token-doc-diff='0.0023' exclusivity='0.4970'>society</word>
<word rank='8' count='951' prob='0.00790' cumulative='0.24840' docs='196' word-length='7.0000' coherence='-0.4732' uniform_dist='0.0558' corpus_dist='0.0086' token-doc-diff='0.0019' exclusivity='0.1243'>systems</word>
<word rank='9' count='922' prob='0.00766' cumulative='0.25606' docs='177' word-length='7.0000' coherence='-0.5757' uniform_dist='0.0539' corpus_dist='0.0126' token-doc-diff='0.0014' exclusivity='0.1849'>digital</word>
<word rank='10' count='770' prob='0.00640' cumulative='0.26246' docs='188' word-length='13.0000' coherence='-0.5097' uniform_dist='0.0438' corpus_dist='0.0138' token-doc-diff='0.0027' exclusivity='0.3846'>technological</word>
<word rank='11' count='701' prob='0.00582' cumulative='0.26828' docs='161' word-length='7.0000' coherence='-0.6648' uniform_dist='0.0394' corpus_dist='0.0083' token-doc-diff='0.0020' exclusivity='0.1507'>ethical</word>
<word rank='12' count='664' prob='0.00552' cumulative='0.27380' docs='192' word-length='5.0000' coherence='-0.4887' uniform_dist='0.0370' corpus_dist='0.0030' token-doc-diff='0.0037' exclusivity='0.0745'>human</word>
<word rank='13' count='598' prob='0.00497' cumulative='0.27877' docs='172' word-length='5.0000' coherence='-0.5987' uniform_dist='0.0328' corpus_dist='0.0056' token-doc-diff='0.0033' exclusivity='0.1075'>tools</word>
<word rank='14' count='543' prob='0.00451' cumulative='0.28328' docs='173' word-length='11.0000' coherence='-0.5929' uniform_dist='0.0293' corpus_dist='0.0043' token-doc-diff='0.0038' exclusivity='0.1349'>information</word>
<word rank='15' count='537' prob='0.00446' cumulative='0.28774' docs='157' word-length='10.0000' coherence='-0.6899' uniform_dist='0.0290' corpus_dist='0.0069' token-doc-diff='0.0031' exclusivity='0.1468'>algorithms</word>
<word rank='16' count='531' prob='0.00441' cumulative='0.29216' docs='161' word-length='6.0000' coherence='-0.6648' uniform_dist='0.0286' corpus_dist='0.0057' token-doc-diff='0.0033' exclusivity='0.1003'>ethics</word>
<word rank='17' count='516' prob='0.00429' cumulative='0.29644' docs='173' word-length='8.0000' coherence='-0.5929' uniform_dist='0.0277' corpus_dist='0.0011' token-doc-diff='0.0041' exclusivity='0.0657'>research</word>
<word rank='18' count='515' prob='0.00428' cumulative='0.30072' docs='158' word-length='9.0000' coherence='-0.6836' uniform_dist='0.0276' corpus_dist='0.0070' token-doc-diff='0.0033' exclusivity='0.2008'>practices</word>
<word rank='19' count='470' prob='0.00391' cumulative='0.30463' docs='184' word-length='9.0000' coherence='-0.5312' uniform_dist='0.0248' corpus_dist='0.0042' token-doc-diff='0.0051' exclusivity='0.2140'>potential</word>
<word rank='20' count='460' prob='0.00382' cumulative='0.30845' docs='161' word-length='6.0000' coherence='-0.6773' uniform_dist='0.0242' corpus_dist='0.0048' token-doc-diff='0.0040' exclusivity='0.1559'>future</word>
</topic>
<topic id='34' tokens='17935.0000' document_entropy='2.2804' word-length='8.4000' coherence='-178.2940' uniform_dist='4.7172' corpus_dist='3.0112' eff_num_words='471.0634' token-doc-diff='0.0310' rank_1_docs='0.1132' allocation_ratio='0.1538' allocation_count='0.0943' exclusivity='0.4499'>
<word rank='1' count='211' prob='0.01176' cumulative='0.01176' docs='20' word-length='6.0000' coherence='0.0000' uniform_dist='0.0878' corpus_dist='0.0442' token-doc-diff='0.0000' exclusivity='0.8036'>energy</word>
<word rank='2' count='204' prob='0.01137' cumulative='0.02314' docs='14' word-length='6.0000' coherence='-0.9153' uniform_dist='0.0845' corpus_dist='0.0324' token-doc-diff='0.0006' exclusivity='0.4441'>effect</word>
<word rank='3' count='188' prob='0.01048' cumulative='0.03362' docs='18' word-length='9.0000' coherence='-0.6922' uniform_dist='0.0770' corpus_dist='0.0357' token-doc-diff='0.0000' exclusivity='0.4910'>countries</word>
<word rank='4' count='179' prob='0.00998' cumulative='0.04360' docs='1' word-length='4.0000' coherence='-2.9833' uniform_dist='0.0728' corpus_dist='0.0429' token-doc-diff='0.0171' exclusivity='0.9973'>lics</word>
<word rank='5' count='168' prob='0.00937' cumulative='0.05297' docs='12' word-length='5.0000' coherence='-0.9153' uniform_dist='0.0678' corpus_dist='0.0126' token-doc-diff='0.0004' exclusivity='0.1732'>model</word>
<word rank='6' count='164' prob='0.00914' cumulative='0.06211' docs='13' word-length='6.0000' coherence='-0.9153' uniform_dist='0.0659' corpus_dist='0.0178' token-doc-diff='0.0001' exclusivity='0.2461'>impact</word>
<word rank='7' count='136' prob='0.00758' cumulative='0.06970' docs='13' word-length='8.0000' coherence='-4.3390' uniform_dist='0.0532' corpus_dist='0.0256' token-doc-diff='0.0000' exclusivity='0.4672'>variable</word>
<word rank='8' count='132' prob='0.00736' cumulative='0.07706' docs='18' word-length='8.0000' coherence='-0.6182' uniform_dist='0.0515' corpus_dist='0.0217' token-doc-diff='0.0013' exclusivity='0.4566'>economic</word>
<word rank='9' count='132' prob='0.00736' cumulative='0.08442' docs='10' word-length='9.0000' coherence='-4.3390' uniform_dist='0.0515' corpus_dist='0.0219' token-doc-diff='0.0002' exclusivity='0.3402'>variables</word>
<word rank='10' count='124' prob='0.00691' cumulative='0.09133' docs='11' word-length='7.0000' coherence='-1.2024' uniform_dist='0.0479' corpus_dist='0.0117' token-doc-diff='0.0000' exclusivity='0.2464'>results</word>
<word rank='11' count='114' prob='0.00636' cumulative='0.09769' docs='10' word-length='9.0000' coherence='-4.3390' uniform_dist='0.0435' corpus_dist='0.0237' token-doc-diff='0.0000' exclusivity='0.7910'>threshold</word>
<word rank='12' count='110' prob='0.00613' cumulative='0.10382' docs='11' word-length='9.0000' coherence='-1.2790' uniform_dist='0.0418' corpus_dist='0.0208' token-doc-diff='0.0001' exclusivity='0.5774'>consumers</word>
<word rank='13' count='110' prob='0.00613' cumulative='0.10995' docs='12' word-length='11.0000' coherence='-1.0486' uniform_dist='0.0418' corpus_dist='0.0077' token-doc-diff='0.0002' exclusivity='0.1428'>development</word>
<word rank='14' count='104' prob='0.00580' cumulative='0.11575' docs='3' word-length='17.0000' coherence='-6.7250' uniform_dist='0.0392' corpus_dist='0.0249' token-doc-diff='0.0036' exclusivity='0.9871'>religious_freedom</word>
<word rank='15' count='97' prob='0.00541' cumulative='0.12116' docs='9' word-length='4.0000' coherence='-4.3390' uniform_dist='0.0362' corpus_dist='0.0125' token-doc-diff='0.0000' exclusivity='0.2242'>test</word>
<word rank='16' count='95' prob='0.00530' cumulative='0.12646' docs='17' word-length='6.0000' coherence='-0.8100' uniform_dist='0.0353' corpus_dist='0.0178' token-doc-diff='0.0030' exclusivity='0.5177'>growth</word>
<word rank='17' count='92' prob='0.00513' cumulative='0.13159' docs='7' word-length='22.0000' coherence='-1.3843' uniform_dist='0.0340' corpus_dist='0.0118' token-doc-diff='0.0001' exclusivity='0.1948'>artiﬁcial_intelligence</word>
<word rank='18' count='87' prob='0.00485' cumulative='0.13644' docs='14' word-length='5.0000' coherence='-0.7977' uniform_dist='0.0319' corpus_dist='0.0132' token-doc-diff='0.0019' exclusivity='0.3617'>china</word>
<word rank='19' count='84' prob='0.00468' cumulative='0.14112' docs='8' word-length='10.0000' coherence='-4.3390' uniform_dist='0.0306' corpus_dist='0.0134' token-doc-diff='0.0000' exclusivity='0.3090'>attributes</word>
<word rank='20' count='83' prob='0.00463' cumulative='0.14575' docs='14' word-length='7.0000' coherence='-4.3390' uniform_dist='0.0302' corpus_dist='0.0095' token-doc-diff='0.0022' exclusivity='0.2268'>effects</word>
</topic>
<topic id='35' tokens='18861.0000' document_entropy='2.9303' word-length='6.2500' coherence='-227.0277' uniform_dist='4.4826' corpus_dist='3.0485' eff_num_words='495.5408' token-doc-diff='0.0128' rank_1_docs='0.0560' allocation_ratio='0.0000' allocation_count='0.0480' exclusivity='0.4121'>
<word rank='1' count='289' prob='0.01532' cumulative='0.01532' docs='39' word-length='7.0000' coherence='0.0000' uniform_dist='0.1184' corpus_dist='0.0331' token-doc-diff='0.0005' exclusivity='0.1442'>writing</word>
<word rank='2' count='258' prob='0.01368' cumulative='0.02900' docs='29' word-length='7.0000' coherence='-0.8905' uniform_dist='0.1041' corpus_dist='0.0554' token-doc-diff='0.0015' exclusivity='0.9124'>stories</word>
<word rank='3' count='196' prob='0.01039' cumulative='0.03939' docs='30' word-length='5.0000' coherence='-0.7188' uniform_dist='0.0762' corpus_dist='0.0377' token-doc-diff='0.0001' exclusivity='0.6268'>story</word>
<word rank='4' count='175' prob='0.00928' cumulative='0.04867' docs='27' word-length='8.0000' coherence='-0.8817' uniform_dist='0.0670' corpus_dist='0.0139' token-doc-diff='0.0000' exclusivity='0.1045'>students</word>
<word rank='5' count='162' prob='0.00859' cumulative='0.05726' docs='23' word-length='6.0000' coherence='-0.9687' uniform_dist='0.0614' corpus_dist='0.0253' token-doc-diff='0.0002' exclusivity='0.3649'>prompt</word>
<word rank='6' count='155' prob='0.00822' cumulative='0.06548' docs='22' word-length='3.0000' coherence='-1.2029' uniform_dist='0.0584' corpus_dist='0.0189' token-doc-diff='0.0002' exclusivity='0.2099'>gpt</word>
<word rank='7' count='151' prob='0.00801' cumulative='0.07348' docs='16' word-length='10.0000' coherence='-1.4796' uniform_dist='0.0567' corpus_dist='0.0296' token-doc-diff='0.0011' exclusivity='0.5926'>characters</word>
<word rank='8' count='149' prob='0.00790' cumulative='0.08138' docs='34' word-length='8.0000' coherence='-0.6282' uniform_dist='0.0558' corpus_dist='0.0189' token-doc-diff='0.0008' exclusivity='0.3940'>critical</word>
<word rank='9' count='133' prob='0.00705' cumulative='0.08844' docs='19' word-length='9.0000' coherence='-1.6704' uniform_dist='0.0490' corpus_dist='0.0177' token-doc-diff='0.0001' exclusivity='0.2313'>algorithm</word>
<word rank='10' count='131' prob='0.00695' cumulative='0.09538' docs='27' word-length='4.0000' coherence='-0.9924' uniform_dist='0.0482' corpus_dist='0.0254' token-doc-diff='0.0003' exclusivity='0.6764'>race</word>
<word rank='11' count='114' prob='0.00604' cumulative='0.10143' docs='29' word-length='6.0000' coherence='-1.1883' uniform_dist='0.0411' corpus_dist='0.0173' token-doc-diff='0.0011' exclusivity='0.3130'>gender</word>
<word rank='12' count='110' prob='0.00583' cumulative='0.10726' docs='8' word-length='6.0000' coherence='-2.7603' uniform_dist='0.0394' corpus_dist='0.0233' token-doc-diff='0.0022' exclusivity='0.7348'>tiktok</word>
<word rank='13' count='103' prob='0.00546' cumulative='0.11272' docs='24' word-length='8.0000' coherence='-1.3485' uniform_dist='0.0366' corpus_dist='0.0170' token-doc-diff='0.0006' exclusivity='0.4274'>literacy</word>
<word rank='14' count='103' prob='0.00546' cumulative='0.11818' docs='25' word-length='5.0000' coherence='-1.1512' uniform_dist='0.0366' corpus_dist='0.0029' token-doc-diff='0.0008' exclusivity='0.0679'>human</word>
<word rank='15' count='101' prob='0.00535' cumulative='0.12354' docs='24' word-length='5.0000' coherence='-1.3421' uniform_dist='0.0357' corpus_dist='0.0083' token-doc-diff='0.0007' exclusivity='0.0888'>users</word>
<word rank='16' count='97' prob='0.00514' cumulative='0.12868' docs='22' word-length='7.0000' coherence='-1.5240' uniform_dist='0.0341' corpus_dist='0.0073' token-doc-diff='0.0005' exclusivity='0.0831'>content</word>
<word rank='17' count='94' prob='0.00498' cumulative='0.13366' docs='17' word-length='8.0000' coherence='-1.5024' uniform_dist='0.0329' corpus_dist='0.0141' token-doc-diff='0.0000' exclusivity='0.4726'>platform</word>
<word rank='18' count='92' prob='0.00488' cumulative='0.13854' docs='18' word-length='4.0000' coherence='-6.4070' uniform_dist='0.0321' corpus_dist='0.0167' token-doc-diff='0.0001' exclusivity='0.4949'>love</word>
<word rank='19' count='90' prob='0.00477' cumulative='0.14331' docs='23' word-length='4.0000' coherence='-1.0976' uniform_dist='0.0313' corpus_dist='0.0092' token-doc-diff='0.0009' exclusivity='0.3159'>ways</word>
<word rank='20' count='89' prob='0.00472' cumulative='0.14803' docs='8' word-length='5.0000' coherence='-2.7019' uniform_dist='0.0309' corpus_dist='0.0200' token-doc-diff='0.0011' exclusivity='0.9871'>civic</word>
</topic>
<topic id='36' tokens='139771.0000' document_entropy='5.3677' word-length='6.6000' coherence='-82.8635' uniform_dist='4.7081' corpus_dist='1.3830' eff_num_words='317.8809' token-doc-diff='0.0445' rank_1_docs='0.0549' allocation_ratio='0.0034' allocation_count='0.0579' exclusivity='0.3656'>
<word rank='1' count='5838' prob='0.04177' cumulative='0.04177' docs='311' word-length='22.0000' coherence='0.0000' uniform_dist='0.3646' corpus_dist='0.0285' token-doc-diff='0.0325' exclusivity='0.1483'>artificialintelligence</word>
<word rank='2' count='1501' prob='0.01074' cumulative='0.05251' docs='224' word-length='7.0000' coherence='-0.3507' uniform_dist='0.0791' corpus_dist='0.0150' token-doc-diff='0.0007' exclusivity='0.1693'>systems</word>
<word rank='3' count='1152' prob='0.00824' cumulative='0.06075' docs='242' word-length='4.0000' coherence='-0.2717' uniform_dist='0.0586' corpus_dist='0.0146' token-doc-diff='0.0000' exclusivity='0.4419'>case</word>
<word rank='4' count='1039' prob='0.00743' cumulative='0.06818' docs='212' word-length='6.0000' coherence='-0.3927' uniform_dist='0.0521' corpus_dist='0.0125' token-doc-diff='0.0000' exclusivity='0.2264'>humans</word>
<word rank='5' count='1013' prob='0.00725' cumulative='0.07543' docs='238' word-length='5.0000' coherence='-0.2717' uniform_dist='0.0506' corpus_dist='0.0059' token-doc-diff='0.0002' exclusivity='0.0980'>human</word>
<word rank='6' count='953' prob='0.00682' cumulative='0.08225' docs='239' word-length='8.0000' coherence='-0.2802' uniform_dist='0.0472' corpus_dist='0.0126' token-doc-diff='0.0003' exclusivity='0.4391'>question</word>
<word rank='7' count='892' prob='0.00638' cumulative='0.08863' docs='238' word-length='4.0000' coherence='-0.2802' uniform_dist='0.0437' corpus_dist='0.0109' token-doc-diff='0.0005' exclusivity='0.3639'>make</word>
<word rank='8' count='835' prob='0.00597' cumulative='0.09460' docs='193' word-length='6.0000' coherence='-0.4927' uniform_dist='0.0405' corpus_dist='0.0070' token-doc-diff='0.0001' exclusivity='0.1171'>system</word>
<word rank='9' count='821' prob='0.00587' cumulative='0.10048' docs='209' word-length='4.0000' coherence='-0.4168' uniform_dist='0.0397' corpus_dist='0.0115' token-doc-diff='0.0003' exclusivity='0.3546'>view</word>
<word rank='10' count='779' prob='0.00557' cumulative='0.10605' docs='214' word-length='9.0000' coherence='-0.3832' uniform_dist='0.0374' corpus_dist='0.0095' token-doc-diff='0.0005' exclusivity='0.5085'>important</word>
<word rank='11' count='721' prob='0.00516' cumulative='0.11121' docs='195' word-length='5.0000' coherence='-0.4875' uniform_dist='0.0342' corpus_dist='0.0090' token-doc-diff='0.0004' exclusivity='0.4693'>paper</word>
<word rank='12' count='618' prob='0.00442' cumulative='0.11563' docs='202' word-length='5.0000' coherence='-0.4415' uniform_dist='0.0287' corpus_dist='0.0070' token-doc-diff='0.0011' exclusivity='0.2044'>point</word>
<word rank='13' count='575' prob='0.00411' cumulative='0.11975' docs='194' word-length='5.0000' coherence='-0.4980' uniform_dist='0.0264' corpus_dist='0.0063' token-doc-diff='0.0012' exclusivity='0.2616'>sense</word>
<word rank='14' count='567' prob='0.00406' cumulative='0.12380' docs='172' word-length='7.0000' coherence='-0.5981' uniform_dist='0.0259' corpus_dist='0.0064' token-doc-diff='0.0007' exclusivity='0.1443'>problem</word>
<word rank='15' count='556' prob='0.00398' cumulative='0.12778' docs='176' word-length='5.0000' coherence='-0.5923' uniform_dist='0.0254' corpus_dist='0.0089' token-doc-diff='0.0009' exclusivity='0.8339'>argue</word>
<word rank='16' count='544' prob='0.00389' cumulative='0.13167' docs='180' word-length='4.0000' coherence='-0.5750' uniform_dist='0.0247' corpus_dist='0.0075' token-doc-diff='0.0011' exclusivity='0.4011'>fact</word>
<word rank='17' count='540' prob='0.00386' cumulative='0.13554' docs='181' word-length='7.0000' coherence='-0.5807' uniform_dist='0.0245' corpus_dist='0.0083' token-doc-diff='0.0011' exclusivity='0.6904'>account</word>
<word rank='18' count='516' prob='0.00369' cumulative='0.13923' docs='180' word-length='7.0000' coherence='-0.5468' uniform_dist='0.0233' corpus_dist='0.0062' token-doc-diff='0.0013' exclusivity='0.3319'>general</word>
<word rank='19' count='507' prob='0.00363' cumulative='0.14286' docs='162' word-length='4.0000' coherence='-0.6646' uniform_dist='0.0228' corpus_dist='0.0074' token-doc-diff='0.0008' exclusivity='0.6260'>kind</word>
<word rank='20' count='501' prob='0.00358' cumulative='0.14644' docs='155' word-length='8.0000' coherence='-0.7159' uniform_dist='0.0225' corpus_dist='0.0062' token-doc-diff='0.0007' exclusivity='0.4811'>instance</word>
</topic>
<topic id='37' tokens='14906.0000' document_entropy='2.6611' word-length='7.5000' coherence='-506.9633' uniform_dist='4.7247' corpus_dist='3.2750' eff_num_words='309.5363' token-doc-diff='0.0465' rank_1_docs='0.1000' allocation_ratio='0.0000' allocation_count='0.1000' exclusivity='0.5395'>
<word rank='1' count='485' prob='0.03254' cumulative='0.03254' docs='32' word-length='7.0000' coherence='0.0000' uniform_dist='0.2759' corpus_dist='0.1062' token-doc-diff='0.0011' exclusivity='0.5130'>content</word>
<word rank='2' count='280' prob='0.01878' cumulative='0.05132' docs='28' word-length='5.0000' coherence='-0.4210' uniform_dist='0.1489' corpus_dist='0.0528' token-doc-diff='0.0005' exclusivity='0.3041'>users</word>
<word rank='3' count='211' prob='0.01416' cumulative='0.06548' docs='25' word-length='11.0000' coherence='-0.5210' uniform_dist='0.1082' corpus_dist='0.0295' token-doc-diff='0.0015' exclusivity='0.3803'>information</word>
<word rank='4' count='158' prob='0.01060' cumulative='0.07608' docs='19' word-length='4.0000' coherence='-0.8467' uniform_dist='0.0780' corpus_dist='0.0225' token-doc-diff='0.0012' exclusivity='0.1385'>text</word>
<word rank='5' count='155' prob='0.01040' cumulative='0.08648' docs='14' word-length='32.0000' coherence='-1.2675' uniform_dist='0.0763' corpus_dist='0.0320' token-doc-diff='0.0001' exclusivity='0.3251'>artificialintelligence-generated</word>
<word rank='6' count='152' prob='0.01020' cumulative='0.09667' docs='21' word-length='10.0000' coherence='-0.9336' uniform_dist='0.0746' corpus_dist='0.0190' token-doc-diff='0.0024' exclusivity='0.1049'>generative</word>
<word rank='7' count='141' prob='0.00946' cumulative='0.10613' docs='12' word-length='5.0000' coherence='-1.4331' uniform_dist='0.0685' corpus_dist='0.0296' token-doc-diff='0.0000' exclusivity='0.3605'>truth</word>
<word rank='8' count='105' prob='0.00704' cumulative='0.11318' docs='11' word-length='6.0000' coherence='-1.3331' uniform_dist='0.0489' corpus_dist='0.0238' token-doc-diff='0.0003' exclusivity='0.4791'>errors</word>
<word rank='9' count='96' prob='0.00644' cumulative='0.11962' docs='2' word-length='6.0000' coherence='-7.7920' uniform_dist='0.0442' corpus_dist='0.0289' token-doc-diff='0.0044' exclusivity='0.9958'>dancer</word>
<word rank='10' count='92' prob='0.00617' cumulative='0.12579' docs='1' word-length='6.0000' coherence='-6.9659' uniform_dist='0.0421' corpus_dist='0.0274' token-doc-diff='0.0066' exclusivity='0.9622'>island</word>
<word rank='11' count='88' prob='0.00590' cumulative='0.13169' docs='5' word-length='10.0000' coherence='-5.0256' uniform_dist='0.0400' corpus_dist='0.0220' token-doc-diff='0.0005' exclusivity='0.5402'>generators</word>
<word rank='12' count='85' prob='0.00570' cumulative='0.13739' docs='1' word-length='4.0000' coherence='-7.3710' uniform_dist='0.0384' corpus_dist='0.0256' token-doc-diff='0.0058' exclusivity='0.9952'>airs</word>
<word rank='13' count='83' prob='0.00557' cumulative='0.14296' docs='1' word-length='7.0000' coherence='-6.9659' uniform_dist='0.0374' corpus_dist='0.0250' token-doc-diff='0.0056' exclusivity='0.9951'>ijtihad</word>
<word rank='14' count='79' prob='0.00530' cumulative='0.14826' docs='1' word-length='7.0000' coherence='-6.9659' uniform_dist='0.0353' corpus_dist='0.0238' token-doc-diff='0.0052' exclusivity='0.9949'>norfolk</word>
<word rank='15' count='77' prob='0.00517' cumulative='0.15343' docs='10' word-length='6.0000' coherence='-4.3390' uniform_dist='0.0343' corpus_dist='0.0181' token-doc-diff='0.0009' exclusivity='0.5075'>coding</word>
<word rank='16' count='75' prob='0.00503' cumulative='0.15846' docs='7' word-length='4.0000' coherence='-5.9379' uniform_dist='0.0333' corpus_dist='0.0181' token-doc-diff='0.0001' exclusivity='0.5348'>aigc</word>
<word rank='17' count='73' prob='0.00490' cumulative='0.16336' docs='1' word-length='3.0000' coherence='-7.2710' uniform_dist='0.0322' corpus_dist='0.0209' token-doc-diff='0.0046' exclusivity='0.7681'>q&amp;a</word>
<word rank='18' count='73' prob='0.00490' cumulative='0.16825' docs='12' word-length='5.0000' coherence='-4.3390' uniform_dist='0.0322' corpus_dist='0.0055' token-doc-diff='0.0023' exclusivity='0.0952'>tools</word>
<word rank='19' count='71' prob='0.00476' cumulative='0.17302' docs='4' word-length='5.0000' coherence='-6.8119' uniform_dist='0.0312' corpus_dist='0.0195' token-doc-diff='0.0004' exclusivity='0.7189'>dance</word>
<word rank='20' count='70' prob='0.00470' cumulative='0.17771' docs='13' word-length='7.0000' coherence='-1.5989' uniform_dist='0.0307' corpus_dist='0.0040' token-doc-diff='0.0032' exclusivity='0.0772'>process</word>
</topic>
<topic id='38' tokens='20793.0000' document_entropy='2.8843' word-length='6.7000' coherence='-189.0385' uniform_dist='4.5889' corpus_dist='3.0214' eff_num_words='396.7053' token-doc-diff='0.0159' rank_1_docs='0.1013' allocation_ratio='0.0000' allocation_count='0.0886' exclusivity='0.4122'>
<word rank='1' count='481' prob='0.02313' cumulative='0.02313' docs='42' word-length='5.0000' coherence='0.0000' uniform_dist='0.1882' corpus_dist='0.0777' token-doc-diff='0.0014' exclusivity='0.4199'>moral</word>
<word rank='2' count='448' prob='0.02155' cumulative='0.04468' docs='30' word-length='14.0000' coherence='-0.4053' uniform_dist='0.1738' corpus_dist='0.0733' token-doc-diff='0.0042' exclusivity='0.5637'>responsibility</word>
<word rank='3' count='270' prob='0.01299' cumulative='0.05766' docs='29' word-length='6.0000' coherence='-0.4417' uniform_dist='0.0982' corpus_dist='0.0404' token-doc-diff='0.0001' exclusivity='0.6306'>person</word>
<word rank='4' count='170' prob='0.00818' cumulative='0.06584' docs='16' word-length='10.0000' coherence='-0.9646' uniform_dist='0.0580' corpus_dist='0.0244' token-doc-diff='0.0003' exclusivity='0.2981'>healthcare</word>
<word rank='5' count='157' prob='0.00755' cumulative='0.07339' docs='20' word-length='4.0000' coherence='-0.9040' uniform_dist='0.0530' corpus_dist='0.0183' token-doc-diff='0.0000' exclusivity='0.3293'>good</word>
<word rank='6' count='156' prob='0.00750' cumulative='0.08089' docs='13' word-length='7.0000' coherence='-1.3389' uniform_dist='0.0526' corpus_dist='0.0303' token-doc-diff='0.0006' exclusivity='0.9733'>dignity</word>
<word rank='7' count='151' prob='0.00726' cumulative='0.08815' docs='22' word-length='5.0000' coherence='-0.7616' uniform_dist='0.0507' corpus_dist='0.0059' token-doc-diff='0.0003' exclusivity='0.0911'>human</word>
<word rank='8' count='144' prob='0.00693' cumulative='0.09508' docs='28' word-length='6.0000' coherence='-0.5186' uniform_dist='0.0480' corpus_dist='0.0121' token-doc-diff='0.0018' exclusivity='0.1463'>ethics</word>
<word rank='9' count='141' prob='0.00678' cumulative='0.10186' docs='20' word-length='11.0000' coherence='-0.9539' uniform_dist='0.0469' corpus_dist='0.0178' token-doc-diff='0.0002' exclusivity='0.3429'>responsible</word>
<word rank='10' count='122' prob='0.00587' cumulative='0.10773' docs='20' word-length='4.0000' coherence='-1.1764' uniform_dist='0.0397' corpus_dist='0.0192' token-doc-diff='0.0006' exclusivity='0.5829'>harm</word>
<word rank='11' count='115' prob='0.00553' cumulative='0.11326' docs='12' word-length='5.0000' coherence='-2.5528' uniform_dist='0.0371' corpus_dist='0.0222' token-doc-diff='0.0001' exclusivity='0.8705'>blame</word>
<word rank='12' count='113' prob='0.00543' cumulative='0.11869' docs='21' word-length='7.0000' coherence='-0.9156' uniform_dist='0.0364' corpus_dist='0.0163' token-doc-diff='0.0011' exclusivity='0.4034'>justice</word>
<word rank='13' count='112' prob='0.00539' cumulative='0.12408' docs='9' word-length='3.0000' coherence='-1.9886' uniform_dist='0.0360' corpus_dist='0.0158' token-doc-diff='0.0005' exclusivity='0.3647'>ais</word>
<word rank='14' count='102' prob='0.00491' cumulative='0.12899' docs='7' word-length='6.0000' coherence='-6.8119' uniform_dist='0.0323' corpus_dist='0.0173' token-doc-diff='0.0009' exclusivity='0.4900'>church</word>
<word rank='15' count='101' prob='0.00486' cumulative='0.13384' docs='14' word-length='6.0000' coherence='-1.9347' uniform_dist='0.0319' corpus_dist='0.0153' token-doc-diff='0.0001' exclusivity='0.5278'>desire</word>
<word rank='16' count='96' prob='0.00462' cumulative='0.13846' docs='14' word-length='9.0000' coherence='-1.6704' uniform_dist='0.0301' corpus_dist='0.0122' token-doc-diff='0.0002' exclusivity='0.2630'>epistemic</word>
<word rank='17' count='95' prob='0.00457' cumulative='0.14303' docs='13' word-length='7.0000' coherence='-1.2504' uniform_dist='0.0298' corpus_dist='0.0142' token-doc-diff='0.0001' exclusivity='0.3079'>morally</word>
<word rank='18' count='95' prob='0.00457' cumulative='0.14760' docs='20' word-length='7.0000' coherence='-1.4990' uniform_dist='0.0298' corpus_dist='0.0054' token-doc-diff='0.0017' exclusivity='0.1098'>ethical</word>
<word rank='19' count='87' prob='0.00418' cumulative='0.15178' docs='18' word-length='6.0000' coherence='-1.0291' uniform_dist='0.0269' corpus_dist='0.0040' token-doc-diff='0.0014' exclusivity='0.1010'>social</word>
<word rank='20' count='87' prob='0.00418' cumulative='0.15597' docs='14' word-length='6.0000' coherence='-1.3830' uniform_dist='0.0269' corpus_dist='0.0091' token-doc-diff='0.0004' exclusivity='0.4272'>common</word>
</topic>
<topic id='39' tokens='104633.0000' document_entropy='5.4110' word-length='5.8500' coherence='-107.1651' uniform_dist='4.2896' corpus_dist='1.6588' eff_num_words='811.7855' token-doc-diff='0.0071' rank_1_docs='0.0671' allocation_ratio='0.0000' allocation_count='0.0213' exclusivity='0.2433'>
<word rank='1' count='1147' prob='0.01096' cumulative='0.01096' docs='224' word-length='5.0000' coherence='0.0000' uniform_dist='0.0810' corpus_dist='0.0134' token-doc-diff='0.0028' exclusivity='0.1476'>human</word>
<word rank='2' count='890' prob='0.00851' cumulative='0.01947' docs='225' word-length='4.0000' coherence='-0.2817' uniform_dist='0.0607' corpus_dist='0.0138' token-doc-diff='0.0006' exclusivity='0.2052'>work</word>
<word rank='3' count='710' prob='0.00679' cumulative='0.02625' docs='191' word-length='5.0000' coherence='-0.3988' uniform_dist='0.0469' corpus_dist='0.0100' token-doc-diff='0.0003' exclusivity='0.1565'>world</word>
<word rank='4' count='645' prob='0.00616' cumulative='0.03242' docs='210' word-length='4.0000' coherence='-0.2981' uniform_dist='0.0420' corpus_dist='0.0091' token-doc-diff='0.0000' exclusivity='0.2173'>time</word>
<word rank='5' count='633' prob='0.00605' cumulative='0.03847' docs='196' word-length='6.0000' coherence='-0.4077' uniform_dist='0.0411' corpus_dist='0.0099' token-doc-diff='0.0000' exclusivity='0.2301'>people</word>
<word rank='6' count='597' prob='0.00571' cumulative='0.04417' docs='169' word-length='8.0000' coherence='-0.5913' uniform_dist='0.0384' corpus_dist='0.0119' token-doc-diff='0.0001' exclusivity='0.2807'>creative</word>
<word rank='7' count='471' prob='0.00450' cumulative='0.04867' docs='146' word-length='8.0000' coherence='-0.6711' uniform_dist='0.0293' corpus_dist='0.0082' token-doc-diff='0.0000' exclusivity='0.2178'>cultural</word>
<word rank='8' count='452' prob='0.00432' cumulative='0.05299' docs='154' word-length='4.0000' coherence='-0.6454' uniform_dist='0.0279' corpus_dist='0.0079' token-doc-diff='0.0000' exclusivity='0.2551'>life</word>
<word rank='9' count='430' prob='0.00411' cumulative='0.05710' docs='178' word-length='4.0000' coherence='-0.4664' uniform_dist='0.0263' corpus_dist='0.0063' token-doc-diff='0.0003' exclusivity='0.4446'>part</word>
<word rank='10' count='427' prob='0.00408' cumulative='0.06119' docs='150' word-length='4.0000' coherence='-0.6887' uniform_dist='0.0261' corpus_dist='0.0087' token-doc-diff='0.0000' exclusivity='0.3330'>real</word>
<word rank='11' count='425' prob='0.00406' cumulative='0.06525' docs='172' word-length='4.0000' coherence='-0.5551' uniform_dist='0.0260' corpus_dist='0.0064' token-doc-diff='0.0003' exclusivity='0.2714'>form</word>
<word rank='12' count='413' prob='0.00395' cumulative='0.06919' docs='178' word-length='4.0000' coherence='-0.4470' uniform_dist='0.0251' corpus_dist='0.0063' token-doc-diff='0.0004' exclusivity='0.2920'>made</word>
<word rank='13' count='412' prob='0.00394' cumulative='0.07313' docs='135' word-length='7.0000' coherence='-0.7860' uniform_dist='0.0251' corpus_dist='0.0039' token-doc-diff='0.0000' exclusivity='0.0948'>digital</word>
<word rank='14' count='399' prob='0.00381' cumulative='0.07695' docs='164' word-length='6.0000' coherence='-0.5562' uniform_dist='0.0242' corpus_dist='0.0066' token-doc-diff='0.0003' exclusivity='0.2564'>create</word>
<word rank='15' count='393' prob='0.00376' cumulative='0.08070' docs='156' word-length='7.0000' coherence='-0.6300' uniform_dist='0.0237' corpus_dist='0.0078' token-doc-diff='0.0002' exclusivity='0.3290'>history</word>
<word rank='16' count='389' prob='0.00372' cumulative='0.08442' docs='179' word-length='4.0000' coherence='-0.4418' uniform_dist='0.0235' corpus_dist='0.0043' token-doc-diff='0.0007' exclusivity='0.2110'>make</word>
<word rank='17' count='386' prob='0.00369' cumulative='0.08811' docs='160' word-length='6.0000' coherence='-0.6872' uniform_dist='0.0232' corpus_dist='0.0070' token-doc-diff='0.0003' exclusivity='0.2682'>author</word>
<word rank='18' count='384' prob='0.00367' cumulative='0.09178' docs='94' word-length='10.0000' coherence='-1.1238' uniform_dist='0.0231' corpus_dist='0.0068' token-doc-diff='0.0003' exclusivity='0.1758'>creativity</word>
<word rank='19' count='382' prob='0.00365' cumulative='0.09543' docs='156' word-length='5.0000' coherence='-0.6639' uniform_dist='0.0230' corpus_dist='0.0081' token-doc-diff='0.0003' exclusivity='0.3217'>ideas</word>
<word rank='20' count='379' prob='0.00362' cumulative='0.09905' docs='144' word-length='12.0000' coherence='-0.6809' uniform_dist='0.0228' corpus_dist='0.0054' token-doc-diff='0.0001' exclusivity='0.1578'>relationship</word>
</topic>
</model>

