{"id":"https://openalex.org/W2048068936","doi":"https://doi.org/10.1109/socpar.2013.7054141","title":"Paired feature constraints for latent dirichlet topic models","display_name":"Paired feature constraints for latent dirichlet topic models","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2048068936","doi":"https://doi.org/10.1109/socpar.2013.7054141","mag":"2048068936"},"language":"en","primary_location":{"id":"doi:10.1109/socpar.2013.7054141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socpar.2013.7054141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041295558","display_name":"Nagesh Bhattu Sristy","orcid":"https://orcid.org/0000-0003-1743-502X"},"institutions":[{"id":"https://openalex.org/I121750182","display_name":"National Institute of Technology Warangal","ror":"https://ror.org/017ebfz38","country_code":"IN","type":"education","lineage":["https://openalex.org/I121750182"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nagesh Bhattu Sristy","raw_affiliation_strings":["Department of CSE, NIT Warangal","[Dept. of CSE, NIT, Warangal]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, NIT Warangal","institution_ids":["https://openalex.org/I121750182"]},{"raw_affiliation_string":"[Dept. of CSE, NIT, Warangal]","institution_ids":["https://openalex.org/I121750182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111965646","display_name":"D. V. L. N. Somayajulu","orcid":null},"institutions":[{"id":"https://openalex.org/I121750182","display_name":"National Institute of Technology Warangal","ror":"https://ror.org/017ebfz38","country_code":"IN","type":"education","lineage":["https://openalex.org/I121750182"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. V. L. N. Somayajulu","raw_affiliation_strings":["Department of CSE, NIT Warangal","[Dept. of CSE, NIT, Warangal]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, NIT Warangal","institution_ids":["https://openalex.org/I121750182"]},{"raw_affiliation_string":"[Dept. of CSE, NIT, Warangal]","institution_ids":["https://openalex.org/I121750182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080531571","display_name":"R. B. V. Subramanyam","orcid":"https://orcid.org/0009-0005-8907-1984"},"institutions":[{"id":"https://openalex.org/I121750182","display_name":"National Institute of Technology Warangal","ror":"https://ror.org/017ebfz38","country_code":"IN","type":"education","lineage":["https://openalex.org/I121750182"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. B. V. Subramanyam","raw_affiliation_strings":["Department of CSE, NIT Warangal","[Dept. of CSE, NIT, Warangal]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, NIT Warangal","institution_ids":["https://openalex.org/I121750182"]},{"raw_affiliation_string":"[Dept. of CSE, NIT, Warangal]","institution_ids":["https://openalex.org/I121750182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I121750182"],"apc_list":null,"apc_paid":null,"fwci":0.2288,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47873903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"270","last_page":"275"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9987000226974487,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9983999729156494,"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/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.9097066521644592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7626880407333374},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.6837955117225647},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6799342036247253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5255550146102905},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48447299003601074},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4806443750858307},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4771389663219452},{"id":"https://openalex.org/keywords/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.45085304975509644},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4395260214805603},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.4228765368461609},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3508044481277466},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1826275885105133}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.9097066521644592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7626880407333374},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.6837955117225647},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6799342036247253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5255550146102905},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48447299003601074},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4806443750858307},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4771389663219452},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.45085304975509644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4395260214805603},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.4228765368461609},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3508044481277466},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1826275885105133},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/socpar.2013.7054141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socpar.2013.7054141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320317507","display_name":"National Institute of Technology Warangal","ror":"https://ror.org/017ebfz38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W7939015","https://openalex.org/W113837456","https://openalex.org/W1516407653","https://openalex.org/W1607542233","https://openalex.org/W1880262756","https://openalex.org/W1947594277","https://openalex.org/W2001082470","https://openalex.org/W2087045154","https://openalex.org/W2096467212","https://openalex.org/W2098062695","https://openalex.org/W2107743791","https://openalex.org/W2112050062","https://openalex.org/W2122683976","https://openalex.org/W2123751690","https://openalex.org/W2125327503","https://openalex.org/W2144100511","https://openalex.org/W2154368244","https://openalex.org/W2158085718","https://openalex.org/W2404032054","https://openalex.org/W2950477597","https://openalex.org/W3010865323","https://openalex.org/W4233135949","https://openalex.org/W6639619044","https://openalex.org/W6640753970","https://openalex.org/W6674510950","https://openalex.org/W6674735981","https://openalex.org/W6676519436","https://openalex.org/W6682991711","https://openalex.org/W7018396312"],"related_works":["https://openalex.org/W2939843948","https://openalex.org/W2497860580","https://openalex.org/W2914864478","https://openalex.org/W2097627380","https://openalex.org/W2891616219","https://openalex.org/W2008338582","https://openalex.org/W4291700620","https://openalex.org/W1999586157","https://openalex.org/W3204672119","https://openalex.org/W2352674739"],"abstract_inverted_index":{"Non":[0],"Parametric":[1],"Bayes":[2],"models,":[3],"so":[4],"called":[5],"family":[6],"of":[7,20,58,150,161],"Latent":[8],"Dirichlet":[9],"Allocation":[10],"(LDA)":[11],"Topic":[12],"Models":[13],"have":[14,170],"found":[15],"application":[16],"in":[17,86,164,185],"various":[18,50,64],"aspects":[19],"pattern":[21],"recognition":[22],"like":[23],"sentiment":[24,90,177],"analysis,":[25],"information":[26],"retrieval,":[27],"question":[28],"answering":[29],"etc.":[30],"The":[31],"topics":[32,59],"induced":[33,60],"by":[34,61,100],"LDA":[35,62],"are":[36,52,84,95,107],"used":[37,184],"for":[38,134],"later":[39],"tasks":[40],"such":[41,66,76,88],"as":[42,67,77,89],"classification,":[43],"regression(movie":[44],"ratings),":[45],"ranking":[46],"and":[47,70,79,83,138],"recommendation.":[48],"Recently":[49],"approaches":[51],"suggested":[53],"to":[54,98,109,122,144,156],"improve":[55],"the":[56,104,112,136,140,165],"utility":[57],"using":[63,101,111,126],"side-information":[65],"labeled":[68,71],"examples":[69],"features.":[72],"Pair-Wise":[73],"feature":[74],"constraints":[75,94,106,162],"cannot-link":[78,105],"must-link,":[80],"represent":[81],"weak-supervision":[82],"prevalent":[85],"domains":[87],"analysis.":[91,187],"Though":[92],"must-link":[93],"relatively":[96],"easier":[97],"incorporate":[99,110,145],"dirichlet":[102,113],"tree,":[103],"harder":[108],"forest.":[114],"In":[115],"this":[116,124],"paper":[117],"we":[118],"proposed":[119],"an":[120],"approach":[121,173],"address":[123],"problem":[125],"posterior":[127],"constraints.":[128,147],"We":[129,169],"introduced":[130],"additional":[131],"latent":[132],"variables":[133],"capturing":[135],"constraints,":[137],"modified":[139],"gibbs":[141],"sampling":[142],"algorithm":[143],"these":[146],"Our":[148],"method":[149],"Posterior":[151],"Regularization":[152],"has":[153],"enabled":[154],"us":[155],"deal":[157],"with":[158],"both":[159],"types":[160],"seamlessly":[163],"same":[166],"optimization":[167],"framework.":[168],"demonstrated":[171],"our":[172],"on":[174],"a":[175],"product":[176],"review":[178],"data":[179],"set":[180],"which":[181],"is":[182],"typically":[183],"text":[186]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}