{"id":"https://openalex.org/W2053725995","doi":"https://doi.org/10.1109/tpami.2014.2313127","title":"Differential Topic Models","display_name":"Differential Topic Models","publication_year":2014,"publication_date":"2014-03-21","ids":{"openalex":"https://openalex.org/W2053725995","doi":"https://doi.org/10.1109/tpami.2014.2313127","mag":"2053725995","pmid":"https://pubmed.ncbi.nlm.nih.gov/26353238"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2014.2313127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2014.2313127","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1885/13706","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114686221","display_name":"Changyou Chen","orcid":"https://orcid.org/0000-0002-9877-8448"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Changyou Chen","raw_affiliation_strings":["Australian National University and National ICT, Australia",", Australian National University and National ICT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian National University and National ICT, Australia","institution_ids":["https://openalex.org/I118347636","https://openalex.org/I42894916"]},{"raw_affiliation_string":", Australian National University and National ICT, Australia","institution_ids":["https://openalex.org/I118347636","https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005792924","display_name":"Wray Buntine","orcid":"https://orcid.org/0000-0001-9292-1015"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wray Buntine","raw_affiliation_strings":["Australian National University and National ICT, Australia",", Australian National University and National ICT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian National University and National ICT, Australia","institution_ids":["https://openalex.org/I118347636","https://openalex.org/I42894916"]},{"raw_affiliation_string":", Australian National University and National ICT, Australia","institution_ids":["https://openalex.org/I118347636","https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023501811","display_name":"Nan Ding","orcid":"https://orcid.org/0000-0002-4876-6553"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Ding","raw_affiliation_strings":["Google Inc., Los Angeles, CA","[Google Inc., Los Angeles, CA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Inc., Los Angeles, CA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"[Google Inc., Los Angeles, CA]","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049449495","display_name":"Lexing Xie","orcid":"https://orcid.org/0000-0001-8319-0118"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lexing Xie","raw_affiliation_strings":["Australian National University and National ICT, Australia",", Australian National University and National ICT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian National University and National ICT, Australia","institution_ids":["https://openalex.org/I118347636","https://openalex.org/I42894916"]},{"raw_affiliation_string":", Australian National University and National ICT, Australia","institution_ids":["https://openalex.org/I118347636","https://openalex.org/I42894916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021845515","display_name":"Lan Du","orcid":"https://orcid.org/0000-0002-9925-0223"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lan Du","raw_affiliation_strings":["Department of Computing, Macquarie University, Sydney, Australia","Department of Computing, Macquarie University, Sydney, Australia,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"Department of Computing, Macquarie University, Sydney, Australia,","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.2758,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.96819423,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"37","issue":"2","first_page":"230","last_page":"242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.7223097085952759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.721732497215271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5621335506439209},{"id":"https://openalex.org/keywords/perplexity","display_name":"Perplexity","score":0.5604164004325867},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4614478647708893},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.4526313841342926},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.42761683464050293},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42581599950790405},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3580373525619507},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.10315799713134766}],"concepts":[{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.7223097085952759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.721732497215271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5621335506439209},{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.5604164004325867},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4614478647708893},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.4526313841342926},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42761683464050293},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42581599950790405},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3580373525619507},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.10315799713134766}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tpami.2014.2313127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2014.2313127","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:26353238","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26353238","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.685.1217","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.685.1217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.cecs.anu.edu.au/%7Exlx/papers/diffTM_PAMI.pdf","raw_type":"text"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/13706","is_oa":true,"landing_page_url":"http://hdl.handle.net/1885/13706","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"Journal article"}],"best_oa_location":{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/13706","is_oa":true,"landing_page_url":"http://hdl.handle.net/1885/13706","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"Journal article"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2831116410","display_name":"Incremental syntactic parsing and coreference resolution","funder_award_id":"DP110102593","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G3328355796","display_name":"Computational models of synergies in human language acquisition","funder_award_id":"DP110102506","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W153090119","https://openalex.org/W166614460","https://openalex.org/W190008395","https://openalex.org/W203054622","https://openalex.org/W263845233","https://openalex.org/W1516111018","https://openalex.org/W1532325895","https://openalex.org/W1536494821","https://openalex.org/W1569041844","https://openalex.org/W1581986412","https://openalex.org/W1880262756","https://openalex.org/W1985093013","https://openalex.org/W2001572836","https://openalex.org/W2005902041","https://openalex.org/W2048064382","https://openalex.org/W2061806977","https://openalex.org/W2065594991","https://openalex.org/W2069429561","https://openalex.org/W2072169887","https://openalex.org/W2075866894","https://openalex.org/W2098047130","https://openalex.org/W2102498033","https://openalex.org/W2106490775","https://openalex.org/W2107743791","https://openalex.org/W2108044891","https://openalex.org/W2108598243","https://openalex.org/W2110717342","https://openalex.org/W2111192031","https://openalex.org/W2112247328","https://openalex.org/W2114741189","https://openalex.org/W2115529864","https://openalex.org/W2119821739","https://openalex.org/W2120826678","https://openalex.org/W2128925311","https://openalex.org/W2131924950","https://openalex.org/W2140124448","https://openalex.org/W2145768976","https://openalex.org/W2148830595","https://openalex.org/W2149537132","https://openalex.org/W2150286230","https://openalex.org/W2153635508","https://openalex.org/W2154099718","https://openalex.org/W2158085718","https://openalex.org/W2158266063","https://openalex.org/W2163021329","https://openalex.org/W2165279024","https://openalex.org/W2168471263","https://openalex.org/W2170658740","https://openalex.org/W2171319841","https://openalex.org/W2295103979","https://openalex.org/W2949169239","https://openalex.org/W2963587356","https://openalex.org/W3099640513","https://openalex.org/W4213009331","https://openalex.org/W4231510805","https://openalex.org/W4233135949","https://openalex.org/W4239072543","https://openalex.org/W4239510810","https://openalex.org/W4292691288","https://openalex.org/W6606271780","https://openalex.org/W6632032506","https://openalex.org/W6634093442","https://openalex.org/W6634664379","https://openalex.org/W6639619044","https://openalex.org/W6674471310","https://openalex.org/W6675466747","https://openalex.org/W6675925752","https://openalex.org/W6676297131","https://openalex.org/W6676681807","https://openalex.org/W6677410942","https://openalex.org/W6679379321","https://openalex.org/W6681597451","https://openalex.org/W6681759985","https://openalex.org/W6682871038","https://openalex.org/W6684152816","https://openalex.org/W6684872003","https://openalex.org/W6685177488","https://openalex.org/W6697383776"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2761847515","https://openalex.org/W130869231","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W4293734197","https://openalex.org/W4206967254","https://openalex.org/W2131689821"],"abstract_inverted_index":{"In":[0],"applications":[1],"we":[2,53,60,75,88,123,172],"may":[3],"want":[4],"to":[5,65,95,166],"compare":[6],"different":[7,17,104,149],"document":[8,180],"collections:":[9],"they":[10],"could":[11],"have":[12],"shared":[13],"content":[14],"but":[15],"also":[16,152],"and":[18,49,73,118],"unique":[19],"aspects":[20,147],"in":[21,70,103,120],"particular":[22],"collections.":[23,150,188],"This":[24],"task":[25],"has":[26],"been":[27],"called":[28],"comparative":[29],"text":[30,187],"mining":[31],"or":[32],"cross-collection":[33],"modeling.":[34],"We":[35,151],"present":[36],"a":[37,84,131,160,184],"differential":[38],"topic":[39,47,169],"model":[40,67,116,144,175],"for":[41,179],"this":[42,52],"application":[43],"that":[44],"models":[45],"both":[46],"differences":[48],"similarities.":[50],"For":[51],"use":[54],"hierarchical":[55],"Bayesian":[56],"nonparametric":[57],"models.":[58,170],"Moreover,":[59],"found":[61],"it":[62],"was":[63],"important":[64],"properly":[66],"power-law":[68],"phenomena":[69],"topic-word":[71],"distributions":[72],"thus":[74,124],"used":[76],"the":[77,90,107,112,121,137,143,154,177],"full":[78],"Pitman-Yor":[79,92],"process":[80,93],"rather":[81],"than":[82],"just":[83],"Dirichlet":[85],"process.":[86],"Furthermore,":[87],"propose":[89,125],"transformed":[91],"(TPYP)":[94],"incorporate":[96],"prior":[97,117],"knowledge":[98],"such":[99],"as":[100],"vocabulary":[101],"variations":[102],"collections":[105],"into":[106],"model.":[108],"To":[109],"deal":[110],"with":[111],"non-conjugate":[113],"issue":[114],"between":[115],"likelihood":[119],"TPYP,":[122],"an":[126],"efficient":[127],"sampling":[128],"algorithm":[129,158],"using":[130],"data":[132],"augmentation":[133],"technique":[134],"based":[135,157],"on":[136,183],"multinomial":[138],"theorem.":[139],"Experimental":[140],"results":[141],"show":[142,153,173],"discovers":[145],"interesting":[146],"of":[148,186],"proposed":[155],"MCMC":[156],"achieves":[159],"dramatically":[161],"reduced":[162],"test":[163],"perplexity":[164],"compared":[165],"some":[167],"existing":[168],"Finally,":[171],"our":[174],"outperforms":[176],"state-of-the-art":[178],"classification/ideology":[181],"prediction":[182],"number":[185]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
