{"id":"https://openalex.org/W2089421272","doi":"https://doi.org/10.1177/0165551514524678","title":"Performance of LDA and DCT models","display_name":"Performance of LDA and DCT models","publication_year":2014,"publication_date":"2014-02-24","ids":{"openalex":"https://openalex.org/W2089421272","doi":"https://doi.org/10.1177/0165551514524678","mag":"2089421272"},"language":"en","primary_location":{"id":"doi:10.1177/0165551514524678","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551514524678","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"},"type":"article","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/A5039756390","display_name":"Abhishek Singh Rathore","orcid":"https://orcid.org/0000-0002-5513-2639"},"institutions":[{"id":"https://openalex.org/I91277730","display_name":"Maulana Azad National Institute of Technology","ror":"https://ror.org/026vtd268","country_code":"IN","type":"education","lineage":["https://openalex.org/I91277730"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Abhishek Singh Rathore","raw_affiliation_strings":["Maulana Azad National Institute of Technology, Bhopal, India"],"affiliations":[{"raw_affiliation_string":"Maulana Azad National Institute of Technology, Bhopal, India","institution_ids":["https://openalex.org/I91277730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102152412","display_name":"Devshri Roy","orcid":null},"institutions":[{"id":"https://openalex.org/I91277730","display_name":"Maulana Azad National Institute of Technology","ror":"https://ror.org/026vtd268","country_code":"IN","type":"education","lineage":["https://openalex.org/I91277730"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Devshri Roy","raw_affiliation_strings":["Maulana Azad National Institute of Technology, Bhopal, India"],"affiliations":[{"raw_affiliation_string":"Maulana Azad National Institute of Technology, Bhopal, India","institution_ids":["https://openalex.org/I91277730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039756390"],"corresponding_institution_ids":["https://openalex.org/I91277730"],"apc_list":null,"apc_paid":null,"fwci":2.0451,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89466222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"40","issue":"3","first_page":"281","last_page":"292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991000294685364,"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":0.9945999979972839,"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/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.9192180037498474},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.8455434441566467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6917678713798523},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6359115839004517},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.6139284372329712},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.5546907186508179},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.533148467540741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5154334306716919},{"id":"https://openalex.org/keywords/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.5116115212440491},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4820752739906311},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4799354672431946},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4584914743900299},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.45632365345954895},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.45602911710739136},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44621309638023376},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.445313036441803},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42944595217704773},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26382458209991455},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.23664388060569763},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20144525170326233}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.9192180037498474},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.8455434441566467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6917678713798523},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6359115839004517},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.6139284372329712},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.5546907186508179},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.533148467540741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5154334306716919},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.5116115212440491},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4820752739906311},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4799354672431946},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4584914743900299},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.45632365345954895},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.45602911710739136},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44621309638023376},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.445313036441803},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42944595217704773},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26382458209991455},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.23664388060569763},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20144525170326233},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0165551514524678","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551514524678","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W76930416","https://openalex.org/W115023223","https://openalex.org/W316065036","https://openalex.org/W1483866194","https://openalex.org/W1508679722","https://openalex.org/W1512596747","https://openalex.org/W1516111018","https://openalex.org/W1577841048","https://openalex.org/W1833498382","https://openalex.org/W1880262756","https://openalex.org/W1969486090","https://openalex.org/W1986188181","https://openalex.org/W2001082470","https://openalex.org/W2024347883","https://openalex.org/W2049633694","https://openalex.org/W2049701036","https://openalex.org/W2072644219","https://openalex.org/W2074909580","https://openalex.org/W2099111195","https://openalex.org/W2100802943","https://openalex.org/W2102150019","https://openalex.org/W2107743791","https://openalex.org/W2108456278","https://openalex.org/W2110558001","https://openalex.org/W2110591510","https://openalex.org/W2123190560","https://openalex.org/W2123348968","https://openalex.org/W2124672527","https://openalex.org/W2128521126","https://openalex.org/W2128925311","https://openalex.org/W2130339025","https://openalex.org/W2130978632","https://openalex.org/W2135790056","https://openalex.org/W2140124448","https://openalex.org/W2150731624","https://openalex.org/W2158018156","https://openalex.org/W2159426623","https://openalex.org/W2165636119","https://openalex.org/W2166914830","https://openalex.org/W2171343266","https://openalex.org/W2187741934","https://openalex.org/W2592285292","https://openalex.org/W2597851033","https://openalex.org/W2606098075","https://openalex.org/W2606211438","https://openalex.org/W2613433911","https://openalex.org/W2616052791","https://openalex.org/W2978329087","https://openalex.org/W3099640513","https://openalex.org/W3106006586","https://openalex.org/W4236474156","https://openalex.org/W4238940159","https://openalex.org/W4241104219","https://openalex.org/W4242926951","https://openalex.org/W4393367792"],"related_works":["https://openalex.org/W2914864478","https://openalex.org/W2097627380","https://openalex.org/W2008338582","https://openalex.org/W4291700620","https://openalex.org/W1999586157","https://openalex.org/W22044811","https://openalex.org/W2625329765","https://openalex.org/W2255612897","https://openalex.org/W2766840109","https://openalex.org/W2955328590"],"abstract_inverted_index":{"The":[0,90,101,133],"Doubly":[1,102],"Correlated":[2,103],"Topic":[3,104],"Model":[4,105,112],"is":[5,23,93],"a":[6,24,33,36,83],"generative":[7],"probabilistic":[8],"topic":[9,88],"model":[10,92,138],"for":[11,46,56],"automatically":[12],"identifying":[13,47],"topics":[14,52,81,126],"from":[15,107,130],"the":[16,19,30,57,64,87,96,108,119,136],"corpus":[17],"of":[18,38,51,76,135],"text":[20],"documents.":[21],"It":[22],"mixed":[25],"membership":[26],"model,":[27],"based":[28],"on":[29,86,143],"fact":[31],"that":[32],"document":[34],"exhibits":[35],"number":[37],"topics.":[39],"We":[40],"used":[41],"word":[42],"co-occurrence":[43],"statistical":[44],"information":[45,55],"an":[48,72],"initial":[49,80,125],"set":[50],"as":[53,79,124],"posterior":[54,115],"model.":[58],"Posterior":[59],"inference":[60],"methods":[61],"utilized":[62],"by":[63,95],"existing":[65],"models":[66],"are":[67],"intractable":[68],"and":[69,145],"therefore":[70],"provide":[71],"approximate":[73],"solution.":[74],"Consideration":[75],"co-occurred":[77,122],"words":[78,123],"provides":[82],"tighter":[84],"bound":[85],"coherence.":[89],"proposed":[91,137],"motivated":[94],"Latent":[97,109],"Dirichlet":[98,110,131],"Allocation":[99,111],"Model.":[100],"differs":[106],"in":[113],"its":[114],"inference;":[116],"it":[117],"uses":[118],"highest":[120],"ranked":[121],"rather":[127],"than":[128],"obtaining":[129],"priors.":[132],"results":[134],"suggest":[139],"some":[140],"improved":[141],"performance":[142],"entropy":[144],"topical":[146],"coherence":[147],"over":[148],"different":[149],"datasets.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}