{"id":"https://openalex.org/W4393053961","doi":"https://doi.org/10.1177/01655515241230793","title":"Short text classification using semantically enriched topic model","display_name":"Short text classification using semantically enriched topic model","publication_year":2024,"publication_date":"2024-03-20","ids":{"openalex":"https://openalex.org/W4393053961","doi":"https://doi.org/10.1177/01655515241230793"},"language":"en","primary_location":{"id":"doi:10.1177/01655515241230793","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01655515241230793","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/A5059113917","display_name":"Farid Uddin","orcid":"https://orcid.org/0000-0002-1199-2709"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Farid Uddin","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, China"],"raw_orcid":"https://orcid.org/0000-0002-1199-2709","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722130","display_name":"Yibo Chen","orcid":"https://orcid.org/0000-0002-7391-8790"},"institutions":[{"id":"https://openalex.org/I4210122501","display_name":"Hunan Xiangdian Test Research Institute (China)","ror":"https://ror.org/0391pty66","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210122501"]},{"id":"https://openalex.org/I4387155567","display_name":"State Grid Hunan Electric Power Company Limited","ror":"https://ror.org/00e17m144","country_code":null,"type":"company","lineage":["https://openalex.org/I4387155567"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Chen","raw_affiliation_strings":["Information and Communication Branch, State Grid Hunan Electric Power Company Limited, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Communication Branch, State Grid Hunan Electric Power Company Limited, China","institution_ids":["https://openalex.org/I4210122501","https://openalex.org/I4387155567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064823007","display_name":"Zuping Zhang","orcid":"https://orcid.org/0000-0002-2528-7808"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zuping Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, China"],"raw_orcid":"https://orcid.org/0000-0002-2528-7808","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100753382","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0002-9733-6242"},"institutions":[{"id":"https://openalex.org/I4210122501","display_name":"Hunan Xiangdian Test Research Institute (China)","ror":"https://ror.org/0391pty66","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210122501"]},{"id":"https://openalex.org/I4387155567","display_name":"State Grid Hunan Electric Power Company Limited","ror":"https://ror.org/00e17m144","country_code":null,"type":"company","lineage":["https://openalex.org/I4387155567"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Huang","raw_affiliation_strings":["Information and Communication Branch, State Grid Hunan Electric Power Company Limited, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Communication Branch, State Grid Hunan Electric Power Company Limited, China","institution_ids":["https://openalex.org/I4210122501","https://openalex.org/I4387155567"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064823007"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":1.1114,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7985585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"51","issue":"2","first_page":"481","last_page":"498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9973000288009644,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9973000288009644,"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":0.9962999820709229,"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":0.9962999820709229,"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/computer-science","display_name":"Computer science","score":0.6459271311759949},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5921857953071594},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5148855447769165},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.513454258441925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3344743847846985},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32822343707084656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6459271311759949},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5921857953071594},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5148855447769165},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.513454258441925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3344743847846985},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32822343707084656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/01655515241230793","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01655515241230793","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":[{"score":0.75,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2688703275","display_name":null,"funder_award_id":"72061147004","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W128638292","https://openalex.org/W569478347","https://openalex.org/W1605309745","https://openalex.org/W2004192095","https://openalex.org/W2069065514","https://openalex.org/W2069175875","https://openalex.org/W2151703435","https://openalex.org/W2153579005","https://openalex.org/W2162384303","https://openalex.org/W2164019165","https://openalex.org/W2170240176","https://openalex.org/W2178725228","https://openalex.org/W2316377833","https://openalex.org/W2340381866","https://openalex.org/W2427545868","https://openalex.org/W2527113023","https://openalex.org/W2604272474","https://openalex.org/W2612708909","https://openalex.org/W2702896255","https://openalex.org/W2733628661","https://openalex.org/W2740139069","https://openalex.org/W2741271950","https://openalex.org/W2790670377","https://openalex.org/W2888777359","https://openalex.org/W2905233862","https://openalex.org/W2908920565","https://openalex.org/W2914874661","https://openalex.org/W2972232588","https://openalex.org/W2979826702","https://openalex.org/W2995824694","https://openalex.org/W2997394441","https://openalex.org/W3003801295","https://openalex.org/W3005792683","https://openalex.org/W3035317046","https://openalex.org/W3040779069","https://openalex.org/W3042631625","https://openalex.org/W3083513963","https://openalex.org/W3107633720","https://openalex.org/W3155497642","https://openalex.org/W3159075545","https://openalex.org/W3208017723","https://openalex.org/W4205185581","https://openalex.org/W4206256100","https://openalex.org/W4210535201","https://openalex.org/W4225139287","https://openalex.org/W4230792291","https://openalex.org/W4240935049","https://openalex.org/W4252507734","https://openalex.org/W4256714638","https://openalex.org/W6637728149","https://openalex.org/W6639619044","https://openalex.org/W6689951360","https://openalex.org/W6779127638","https://openalex.org/W6784440508","https://openalex.org/W7015753181"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3200230513","https://openalex.org/W2769501189","https://openalex.org/W2226452791","https://openalex.org/W2962686197","https://openalex.org/W4312773271","https://openalex.org/W2132052677","https://openalex.org/W4315588616","https://openalex.org/W2207653751","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Modelling":[0],"short":[1,42,180,187],"text":[2,27,43,55,72,181,188],"is":[3,34],"challenging":[4],"due":[5],"to":[6],"the":[7,70,90,98,105,109,121,125,137],"small":[8],"number":[9,150],"of":[10,60,92,101,117,128,147,151],"word":[11,96,102,118,152],"co-occurrence":[12],"and":[13,36,80,104,157],"insufficient":[14],"semantic":[15],"information":[16,30],"that":[17,76,172],"affects":[18],"downstream":[19],"Natural":[20],"Language":[21],"Processing":[22],"(NLP)":[23],"tasks,":[24],"for":[25,136,166],"example,":[26],"classification.":[28,168],"Gathering":[29],"from":[31],"external":[32,48],"sources":[33],"expensive":[35],"may":[37],"increase":[38],"noise.":[39],"For":[40],"efficient":[41],"classification":[44,182],"without":[45,130],"depending":[46],"on":[47,120],"knowledge":[49],"sources,":[50],"we":[51],"propose":[52],"Expressive":[53],"Short":[54,71],"Classification":[56],"(EStC).":[57],"EStC":[58,140,173],"consists":[59],"a":[61,84,94,159],"novel":[62],"document":[63,106,138],"context-aware":[64],"semantically":[65],"enriched":[66],"topic":[67,99,126],"model":[68],"called":[69],"Topic":[73],"Model":[74],"(StTM)":[75],"captures":[77],"words,":[78],"topics":[79,148],"documents":[81,142],"semantics":[82],"in":[83,143,179],"joint":[85],"learning":[86],"framework.":[87],"In":[88],"StTM,":[89],"probability":[91],"predicting":[93],"context":[95],"involves":[97],"distribution":[100,127],"embeddings":[103,119],"vector":[107,162],"as":[108],"global":[110],"context,":[111],"which":[112],"obtains":[113],"by":[114],"weighted":[115],"averaging":[116],"fly":[122],"simultaneously":[123],"with":[124],"words":[129],"requiring":[131],"an":[132,144],"additional":[133],"inference":[134],"method":[135],"embedding.":[139],"represents":[141],"expressive":[145],"(number":[146],"\u00d7":[149],"embedding":[153,155],"features)":[154],"space":[156],"uses":[158],"linear":[160],"support":[161],"machine":[163],"(SVM)":[164],"classifier":[165],"their":[167],"Experimental":[169],"results":[170],"demonstrate":[171],"outperforms":[174],"many":[175],"state-of-the-art":[176],"language":[177],"models":[178],"using":[183],"several":[184],"publicly":[185],"available":[186],"data":[189],"sets.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
