{"id":"https://openalex.org/W3035136528","doi":"https://doi.org/10.3233/jifs-191690","title":"Topic modeling in short-text using non-negative matrix factorization based on deep reinforcement learning","display_name":"Topic modeling in short-text using non-negative matrix factorization based on deep reinforcement learning","publication_year":2020,"publication_date":"2020-06-06","ids":{"openalex":"https://openalex.org/W3035136528","doi":"https://doi.org/10.3233/jifs-191690","mag":"3035136528"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-191690","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191690","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 & 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/A5029242574","display_name":"Zeinab Shahbazi","orcid":"https://orcid.org/0000-0003-1520-1799"},"institutions":[{"id":"https://openalex.org/I83202590","display_name":"Jeju National University","ror":"https://ror.org/05hnb4n85","country_code":"KR","type":"education","lineage":["https://openalex.org/I83202590"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Zeinab Shahbazi","raw_affiliation_strings":["Department of Computer Engineering, Jeju National University, Jejusi, Jeju Special Self-Governing Provience, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Jeju National University, Jejusi, Jeju Special Self-Governing Provience, Korea","institution_ids":["https://openalex.org/I83202590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110809957","display_name":"Yung-Cheol Byun","orcid":"https://orcid.org/0000-0003-1107-9941"},"institutions":[{"id":"https://openalex.org/I83202590","display_name":"Jeju National University","ror":"https://ror.org/05hnb4n85","country_code":"KR","type":"education","lineage":["https://openalex.org/I83202590"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yung-Cheol Byun","raw_affiliation_strings":["Department of Computer Engineering, Jeju National University, Jejusi, Jeju Special Self-Governing Provience, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Jeju National University, Jejusi, Jeju Special Self-Governing Provience, Korea","institution_ids":["https://openalex.org/I83202590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5110809957"],"corresponding_institution_ids":["https://openalex.org/I83202590"],"apc_list":null,"apc_paid":null,"fwci":2.2164,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.90298246,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"39","issue":"1","first_page":"753","last_page":"770"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9970999956130981,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8539283275604248},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7888787984848022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5314998030662537},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5098513960838318},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46601608395576477},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.46211081743240356},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.42838823795318604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3780793845653534},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20728349685668945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8539283275604248},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7888787984848022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5314998030662537},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5098513960838318},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46601608395576477},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.46211081743240356},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.42838823795318604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3780793845653534},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20728349685668945},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-191690","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191690","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 & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W33249699","https://openalex.org/W141372029","https://openalex.org/W197049292","https://openalex.org/W1615991656","https://openalex.org/W1714665356","https://openalex.org/W1880262756","https://openalex.org/W1902027874","https://openalex.org/W1956340063","https://openalex.org/W1969486090","https://openalex.org/W1987127298","https://openalex.org/W2004192095","https://openalex.org/W2053968437","https://openalex.org/W2057990742","https://openalex.org/W2063904635","https://openalex.org/W2064772995","https://openalex.org/W2067931421","https://openalex.org/W2076219102","https://openalex.org/W2087382273","https://openalex.org/W2101105183","https://openalex.org/W2107743791","https://openalex.org/W2139317750","https://openalex.org/W2147152072","https://openalex.org/W2150594776","https://openalex.org/W2151703435","https://openalex.org/W2168332560","https://openalex.org/W2171836785","https://openalex.org/W2250539671","https://openalex.org/W2340381866","https://openalex.org/W2397462379","https://openalex.org/W2405765071","https://openalex.org/W2467173223","https://openalex.org/W2516537890","https://openalex.org/W2585828887","https://openalex.org/W2586593666","https://openalex.org/W2590362024","https://openalex.org/W2735492478","https://openalex.org/W2769470112","https://openalex.org/W2788615138","https://openalex.org/W2898704779","https://openalex.org/W2962826786","https://openalex.org/W2962965405","https://openalex.org/W2963211739","https://openalex.org/W2963929190","https://openalex.org/W4231510805","https://openalex.org/W6639619044"],"related_works":["https://openalex.org/W3074294383","https://openalex.org/W4206669594","https://openalex.org/W2961085424","https://openalex.org/W2959276766","https://openalex.org/W4295941380","https://openalex.org/W260766989","https://openalex.org/W3139193008","https://openalex.org/W4306674287","https://openalex.org/W3111983280","https://openalex.org/W4319083788"],"abstract_inverted_index":{"Topic":[0],"modeling":[1],"for":[2,102],"short":[3,77,96,147,168,235,259],"texts":[4,97,169],"is":[5,41,67,79,156],"a":[6,42,117,127,199,225],"challenging":[7],"and":[8,15,37,49,58,70,85,108,134,143,164,177,197,204,223,244],"interesting":[9,100],"problem":[10,160],"in":[11,95,167,256],"the":[12,25,60,62,73,76,159,172,188,193,208,251],"machine":[13,106],"learning":[14,107,132,195,203],"knowledge":[16,109],"discovery":[17,110],"domains.":[18],"Nowadays,":[19],"millions":[20],"of":[21,34,44,52,75,120,129,153,161,187,201,227,253,258],"documents":[22],"published":[23],"on":[24,192,234,241],"internet":[26],"from":[27,116,146],"various":[28,35],"sources.":[29],"Internet":[30],"websites":[31],"are":[32],"full":[33],"topics":[36,115,145],"information,":[38],"but":[39],"there":[40],"lot":[43],"similarity":[45],"between":[46],"topics,":[47],"contents,":[48],"total":[50],"quality":[51],"sources,":[53],"which":[54,81],"causes":[55,82],"data":[56,68,165],"repetition":[57],"gives":[59],"user":[61],"same":[63],"information.":[64],"Another":[65],"issue":[66,186],"sparsity":[69,166],"ambiguity":[71],"because":[72],"length":[74],"text":[78,236],"limited,":[80],"unsatisfactory":[83],"results":[84,88,243],"give":[86],"irrelevant":[87],"to":[89,104,112,140,157,170,174,230],"end-users.":[90],"All":[91],"these":[92],"mentioned":[93],"issues":[94],"made":[98],"an":[99,185],"topic":[101,238,261],"researchers":[103],"use":[105],"techniques":[111,255],"discover":[113],"underlying":[114,144],"massive":[118],"amount":[119],"data.":[121],"In":[122],"this":[123,154],"paper,":[124],"we":[125,214],"propose":[126,182,248],"combination":[128,200],"deep":[130],"reinforcement":[131,194,202],"(RL)":[133],"semantics-assisted":[135],"non-negative":[136],"matrix":[137],"factorization":[138],"model":[139,183,249],"extract":[141],"meaningful":[142,176],"document":[148,237,260],"contents.":[149,179],"The":[150],"main":[151],"objective":[152],"work":[155],"reduce":[158],"repetitive":[162],"information":[163],"help":[171],"users":[173],"get":[175,231],"relevant":[178],"Furthermore,":[180],"our":[181,247],"reviews":[184],"Seq2Seq":[189],"approach":[190],"based":[191],"perspective":[196],"provides":[198],"SeaNMF":[205],"formulation":[206],"using":[207,220],"block":[209],"coordinate":[210],"descent":[211],"algorithm.":[212],"Moreover,":[213],"compare":[215],"different":[216],"real-world":[217],"datasets":[218],"by":[219],"numerical":[221],"calculation":[222],"present":[224],"couple":[226],"state-of-art":[228],"models":[229],"better":[232],"performance":[233],"modeling.":[239,262],"Based":[240],"experimental":[242],"comparative":[245],"analysis,":[246],"outperforms":[250],"state":[252],"art":[254],"terms":[257]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}