{"id":"https://openalex.org/W2609608200","doi":"https://doi.org/10.3233/jifs-169300","title":"The research on text clustering based on LDA joint model","display_name":"The research on text clustering based on LDA joint model","publication_year":2017,"publication_date":"2017-04-24","ids":{"openalex":"https://openalex.org/W2609608200","doi":"https://doi.org/10.3233/jifs-169300","mag":"2609608200"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-169300","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169300","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5100369857","display_name":"Chen Li","orcid":"https://orcid.org/0000-0002-6475-3146"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Li","raw_affiliation_strings":["School of Science and Technology, Communication University of China, Chaoyang, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Communication University of China, Chaoyang, Beijing, P.R. China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115598536","display_name":"Cheng Yang","orcid":"https://orcid.org/0000-0002-9692-9564"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Yang","raw_affiliation_strings":["School of Science and Technology, Communication University of China, Chaoyang, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Communication University of China, Chaoyang, Beijing, P.R. China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101559331","display_name":"Qin Jiang","orcid":"https://orcid.org/0000-0003-2635-9655"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Jiang","raw_affiliation_strings":["School of Science and Technology, Communication University of China, Chaoyang, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Communication University of China, Chaoyang, Beijing, P.R. China","institution_ids":["https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100369857"],"corresponding_institution_ids":["https://openalex.org/I75689368"],"apc_list":null,"apc_paid":null,"fwci":0.5981,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.75312745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"32","issue":"5","first_page":"3655","last_page":"3667"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9904999732971191,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9904999732971191,"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":0.9861999750137329,"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":0.984499990940094,"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":0.9188175201416016},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7285851836204529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6917198896408081},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6873730421066284},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.5673903226852417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5219920873641968},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4982757568359375},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.4793546795845032},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.4741722345352173},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.47054463624954224},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45823031663894653},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.45291823148727417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45036834478378296},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4426318109035492},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43277260661125183},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20127716660499573},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07360565662384033}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.9188175201416016},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7285851836204529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6917198896408081},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6873730421066284},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.5673903226852417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5219920873641968},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4982757568359375},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.4793546795845032},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.4741722345352173},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.47054463624954224},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45823031663894653},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.45291823148727417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45036834478378296},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4426318109035492},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43277260661125183},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20127716660499573},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07360565662384033},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-169300","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169300","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7300000190734863,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320329139","display_name":"Communication University of China","ror":"https://ror.org/04facbs33"},{"id":"https://openalex.org/F4320336049","display_name":"National Science and Technology Program during the Twelfth Five-year Plan Period","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W16874441","https://openalex.org/W35191448","https://openalex.org/W407851623","https://openalex.org/W1114377934","https://openalex.org/W1201108321","https://openalex.org/W1536737962","https://openalex.org/W1608310687","https://openalex.org/W1645191920","https://openalex.org/W1652742547","https://openalex.org/W1872023060","https://openalex.org/W1880262756","https://openalex.org/W1935971408","https://openalex.org/W1953665396","https://openalex.org/W1976682039","https://openalex.org/W1978380673","https://openalex.org/W2009993388","https://openalex.org/W2032906216","https://openalex.org/W2035446426","https://openalex.org/W2042980227","https://openalex.org/W2051468464","https://openalex.org/W2052296830","https://openalex.org/W2058990119","https://openalex.org/W2082827056","https://openalex.org/W2103868202","https://openalex.org/W2106581202","https://openalex.org/W2138453965","https://openalex.org/W2144405306","https://openalex.org/W2147152072","https://openalex.org/W2156740804","https://openalex.org/W2161374186","https://openalex.org/W2165612380","https://openalex.org/W2180673283","https://openalex.org/W2228683834","https://openalex.org/W2240698451","https://openalex.org/W2242463179","https://openalex.org/W2253647082","https://openalex.org/W2275974596","https://openalex.org/W2292447176","https://openalex.org/W2296089067","https://openalex.org/W2296364830","https://openalex.org/W2317756216","https://openalex.org/W2330645510","https://openalex.org/W2335213950","https://openalex.org/W2344041367","https://openalex.org/W2361783562","https://openalex.org/W2362263412","https://openalex.org/W2362659651","https://openalex.org/W2381608339","https://openalex.org/W2385943539","https://openalex.org/W2399067544","https://openalex.org/W2429335739","https://openalex.org/W2440762174","https://openalex.org/W2460821162","https://openalex.org/W2468459145","https://openalex.org/W2484412399","https://openalex.org/W2491478073","https://openalex.org/W2532802150","https://openalex.org/W2580364023","https://openalex.org/W2604861990","https://openalex.org/W2743219424","https://openalex.org/W2748940929","https://openalex.org/W2755991509","https://openalex.org/W2808250780","https://openalex.org/W4231510805","https://openalex.org/W4285719527","https://openalex.org/W6600660184","https://openalex.org/W6614163389","https://openalex.org/W6639332993","https://openalex.org/W6639619044","https://openalex.org/W6683012300","https://openalex.org/W6692157954","https://openalex.org/W6697288374","https://openalex.org/W6704525839","https://openalex.org/W6712574234","https://openalex.org/W6728850526","https://openalex.org/W7030331940","https://openalex.org/W7038606143"],"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/W2207653751","https://openalex.org/W2611137333","https://openalex.org/W3005513013","https://openalex.org/W4309228610","https://openalex.org/W4294597112"],"abstract_inverted_index":{"This":[0],"paper":[1,71],"proposed":[2],"a":[3,92],"cluster":[4,77],"algorithm":[5],"based":[6],"on":[7],"the":[8,24,38,43,52,57,60,76,99,107,113,128],"combination":[9],"of":[10,59,81,95,112,121],"LDA":[11,35,96,122],"(Latent":[12],"Dirichlet":[13],"allocation)":[14],"probabilistic":[15],"topic":[16,30,85,118],"model":[17,54,89],"and":[18,31,84,97,116,132,136],"VSM":[19],"(Vector":[20],"Space":[21],"Model),":[22],"with":[23],"three-tier":[25],"framework":[26],"adopted":[27],"containing":[28],"text,":[29],"feature":[32,82],"word.":[33],"Although":[34],"alone":[36],"has":[37],"ability":[39],"to":[40,55,64,74,126,143],"seek":[41],"out":[42],"hidden":[44],"topi":[45],"c":[46],"knowledge,":[47],"it":[48],"is":[49,72],"hard":[50],"for":[51,67],"low-dimensional":[53],"remain":[56],"integrity":[58],"text":[61],"information,":[62],"leading":[63],"insufficient":[65],"capacity":[66],"distinguishing":[68],"texts.":[69],"The":[70],"set":[73],"launch":[75],"analysis":[78],"in":[79,142],"turns":[80],"words":[83],"through":[86],"integrating":[87],"two":[88],"above.":[90],"With":[91],"better":[93],"mix":[94],"VSM,":[98],"clustering":[100,109],"effect":[101],"will":[102],"be":[103],"improved,":[104],"paralleling":[105],"determining":[106],"optimal":[108],"number":[110,119],"K":[111],"K-means":[114],"algorithms":[115,129],"optimum":[117],"T":[120],"model.":[123],"In":[124],"order":[125],"design":[127],"more":[130],"scientifically":[131],"effectively,":[133],"silhouette":[134],"coefficient":[135,138],"Dunn":[137],"have":[139],"been":[140],"brought":[141],"make":[144],"assessments.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
