{"id":"https://openalex.org/W2904432433","doi":"https://doi.org/10.1609/aaai.v33i01.33017884","title":"Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts","display_name":"Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904432433","doi":"https://doi.org/10.1609/aaai.v33i01.33017884","mag":"2904432433"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33017884","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33017884","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4787/4665","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4787/4665","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100751173","display_name":"Ximing Li","orcid":"https://orcid.org/0000-0001-8190-5087"},"institutions":[{"id":"https://openalex.org/I4210136497","display_name":"Jilin Medical University","ror":"https://ror.org/03mzw7781","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136497"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ximing Li","raw_affiliation_strings":["Jilin University"],"affiliations":[{"raw_affiliation_string":"Jilin University","institution_ids":["https://openalex.org/I4210136497","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100747006","display_name":"Jiaojiao Zhang","orcid":"https://orcid.org/0000-0002-6084-5502"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210136497","display_name":"Jilin Medical University","ror":"https://ror.org/03mzw7781","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136497"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaojiao Zhang","raw_affiliation_strings":["Jilin University"],"affiliations":[{"raw_affiliation_string":"Jilin University","institution_ids":["https://openalex.org/I4210136497","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103822192","display_name":"Jihong Ouyang","orcid":"https://orcid.org/0000-0001-6151-365X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210136497","display_name":"Jilin Medical University","ror":"https://ror.org/03mzw7781","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136497"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihong Ouyang","raw_affiliation_strings":["Jilin University"],"affiliations":[{"raw_affiliation_string":"Jilin University","institution_ids":["https://openalex.org/I4210136497","https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100751173"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210136497"],"apc_list":null,"apc_paid":null,"fwci":2.6642,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.91531714,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"33","issue":"01","first_page":"7884","last_page":"7891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9968000054359436,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9968000054359436,"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/T10028","display_name":"Topic Modeling","score":0.9965999722480774,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9584000110626221,"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":0.7019587159156799},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.6837815046310425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6416633725166321},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6185640096664429},{"id":"https://openalex.org/keywords/multinomial-distribution","display_name":"Multinomial distribution","score":0.5955876708030701},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5007801055908203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5007007122039795},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49580177664756775},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.46176499128341675},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.424286425113678},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4207316040992737},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.4170437753200531},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36523687839508057},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3469098210334778},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3294519782066345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29228293895721436},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.14902004599571228}],"concepts":[{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.7019587159156799},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.6837815046310425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6416633725166321},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6185640096664429},{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.5955876708030701},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5007801055908203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5007007122039795},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49580177664756775},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.46176499128341675},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.424286425113678},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4207316040992737},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.4170437753200531},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36523687839508057},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3469098210334778},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3294519782066345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29228293895721436},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.14902004599571228},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33017884","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33017884","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4787/4665","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33017884","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33017884","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4787/4665","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2600844509","display_name":null,"funder_award_id":"61602204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3051941129","display_name":null,"funder_award_id":"61876071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3745558175","display_name":null,"funder_award_id":"No.61876071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904432433.pdf","grobid_xml":"https://content.openalex.org/works/W2904432433.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W658020064","https://openalex.org/W1601795611","https://openalex.org/W1977830790","https://openalex.org/W2004192095","https://openalex.org/W2026967148","https://openalex.org/W2038043464","https://openalex.org/W2048195127","https://openalex.org/W2061922307","https://openalex.org/W2112104211","https://openalex.org/W2114315281","https://openalex.org/W2130428211","https://openalex.org/W2141599568","https://openalex.org/W2151703435","https://openalex.org/W2158131535","https://openalex.org/W2161353674","https://openalex.org/W2168084958","https://openalex.org/W2168332560","https://openalex.org/W2210189954","https://openalex.org/W2222893162","https://openalex.org/W2252172130","https://openalex.org/W2288972158","https://openalex.org/W2340381866","https://openalex.org/W2605183993","https://openalex.org/W2741681315","https://openalex.org/W2745475103","https://openalex.org/W2755330151","https://openalex.org/W2773736820","https://openalex.org/W2799605284","https://openalex.org/W2804429990","https://openalex.org/W4231510805","https://openalex.org/W4233135949","https://openalex.org/W6621906925","https://openalex.org/W6629510986","https://openalex.org/W6639619044","https://openalex.org/W6659856716","https://openalex.org/W6662776447","https://openalex.org/W6675806119","https://openalex.org/W6677222910","https://openalex.org/W6683847445","https://openalex.org/W6684747877","https://openalex.org/W6688372246","https://openalex.org/W6750708655"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W3005513013","https://openalex.org/W2207653751","https://openalex.org/W2891616219","https://openalex.org/W2796920963","https://openalex.org/W3204672119"],"abstract_inverted_index":{"Conventional":[0],"topic":[1,45,80,99,111,147],"models":[2,148],"suffer":[3],"from":[4],"a":[5,106],"severe":[6],"sparsity":[7,29],"problem":[8,57],"when":[9],"facing":[10],"extremely":[11],"short":[12,64,93,145],"texts":[13,94],"such":[14],"as":[15,75],"social":[16],"media":[17],"posts.":[18],"The":[19],"family":[20],"of":[21,63],"Dirichlet":[22],"multinomial":[23],"mixture":[24],"(DMM)":[25],"can":[26],"handle":[27],"the":[28,48,78,91,114,121,133,143],"problem,":[30],"however,":[31],"they":[32],"are":[33],"still":[34],"very":[35,160],"sensitive":[36],"to":[37,67,76,128],"ordinary":[38],"and":[39,176],"noisy":[40],"words,":[41],"resulting":[42],"in":[43,179],"inaccurate":[44,79],"representations":[46],"at":[47,132],"document":[49,115,130],"level.":[50,135],"In":[51],"this":[52,56,102],"paper,":[53],"we":[54,104,118,139],"alleviate":[55],"by":[58,85],"preserving":[59],"local":[60],"neighborhood":[61],"structure":[62],"texts,":[65],"enabling":[66],"spread":[68],"topical":[69],"signals":[70],"among":[71],"neighboring":[72],"documents,":[73],"so":[74],"correct":[77],"representations.":[81,100],"This":[82],"is":[83],"achieved":[84],"using":[86],"variational":[87,98],"manifold":[88],"regularization,":[89],"constraining":[90],"close":[92],"should":[95],"have":[96],"similar":[97],"Upon":[101],"idea,":[103],"propose":[105],"novel":[107],"Laplacian":[108],"DMM":[109],"(LapDMM)":[110],"model.":[112],"During":[113],"graph":[116],"construction,":[117],"further":[119],"use":[120],"word":[122,126],"mover\u2019s":[123],"distance":[124],"with":[125],"embeddings":[127],"measure":[129],"similarities":[131],"semantic":[134],"To":[136],"evaluate":[137],"LapDMM,":[138],"compare":[140],"it":[141],"against":[142],"state-of-theart":[144],"text":[146],"on":[149,174],"several":[150],"traditional":[151],"tasks.":[152],"Experimental":[153],"results":[154],"demonstrate":[155],"that":[156],"our":[157],"LapDMM":[158],"achieves":[159],"significant":[161],"performance":[162],"gains":[163],"over":[164],"baseline":[165],"models,":[166],"e.g.,":[167],"achieving":[168],"even":[169],"about":[170],"0.2":[171],"higher":[172],"scores":[173],"clustering":[175],"classification":[177],"tasks":[178],"many":[180],"cases.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}