{"id":"https://openalex.org/W2888777359","doi":"https://doi.org/10.1109/access.2018.2863260","title":"GLTM: A Global and Local Word Embedding-Based Topic Model for Short Texts","display_name":"GLTM: A Global and Local Word Embedding-Based Topic Model for Short Texts","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2888777359","doi":"https://doi.org/10.1109/access.2018.2863260","mag":"2888777359"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2863260","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2863260","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2863260","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000836998","display_name":"Wenxin Liang","orcid":"https://orcid.org/0000-0002-9166-3138"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Liang","raw_affiliation_strings":["School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-9166-3138","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068670685","display_name":"Ran Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Feng","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757863","display_name":"Xinyue Liu","orcid":"https://orcid.org/0000-0001-7905-3831"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyue Liu","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101967701","display_name":"Yuangang Li","orcid":"https://orcid.org/0000-0003-3143-1105"},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuangang Li","raw_affiliation_strings":["School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, China","institution_ids":["https://openalex.org/I181679659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006269113","display_name":"Xianchao Zhang","orcid":"https://orcid.org/0000-0002-0180-3740"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianchao Zhang","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.2759,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.93709375,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"43612","last_page":"43621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9958000183105469,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9933000206947327,"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":0.8367587327957153},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6850748062133789},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6839538216590881},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6275846362113953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5942965149879456},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5009257793426514},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.47756606340408325},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4561935365200043},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.414274126291275},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41322624683380127},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.40761110186576843},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19201532006263733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8367587327957153},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6850748062133789},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6839538216590881},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6275846362113953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5942965149879456},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5009257793426514},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47756606340408325},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4561935365200043},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.414274126291275},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41322624683380127},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.40761110186576843},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19201532006263733},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2863260","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2863260","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:abf17c95238c4c41bcb06db348103b40","is_oa":true,"landing_page_url":"https://doaj.org/article/abf17c95238c4c41bcb06db348103b40","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 43612-43621 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2863260","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2863260","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8100000023841858,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6862244890","display_name":null,"funder_award_id":"61632019","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W43037342","https://openalex.org/W159693449","https://openalex.org/W1614298861","https://openalex.org/W1714665356","https://openalex.org/W1880262756","https://openalex.org/W1995866178","https://openalex.org/W2001082470","https://openalex.org/W2004192095","https://openalex.org/W2061873838","https://openalex.org/W2061922307","https://openalex.org/W2063904635","https://openalex.org/W2064772995","https://openalex.org/W2098047130","https://openalex.org/W2106035193","https://openalex.org/W2108281845","https://openalex.org/W2130339025","https://openalex.org/W2131571251","https://openalex.org/W2134731454","https://openalex.org/W2153579005","https://openalex.org/W2168332560","https://openalex.org/W2171836785","https://openalex.org/W2222893162","https://openalex.org/W2250753706","https://openalex.org/W2252172130","https://openalex.org/W2296641297","https://openalex.org/W2340381866","https://openalex.org/W2516537890","https://openalex.org/W2585828887","https://openalex.org/W2788615138","https://openalex.org/W2950577311","https://openalex.org/W2963726741","https://openalex.org/W4231510805","https://openalex.org/W4243974393","https://openalex.org/W4294170691","https://openalex.org/W6601672244","https://openalex.org/W6606478888","https://openalex.org/W6639619044","https://openalex.org/W6674471310","https://openalex.org/W6675955764","https://openalex.org/W6676568861","https://openalex.org/W6679482899","https://openalex.org/W6682691769","https://openalex.org/W6689050917"],"related_works":["https://openalex.org/W947140380","https://openalex.org/W4286432911","https://openalex.org/W4230884544","https://openalex.org/W4245453790","https://openalex.org/W3194985222","https://openalex.org/W3216571906","https://openalex.org/W4214830338","https://openalex.org/W2944691285","https://openalex.org/W2518587255","https://openalex.org/W4287599800"],"abstract_inverted_index":{"Short":[0],"texts":[1],"have":[2,59],"become":[3],"a":[4,56,140],"kind":[5],"of":[6,9,81,125,213],"prevalent":[7],"source":[8],"information,":[10],"and":[11,78,83,113,143,165,184],"discovering":[12],"topical":[13],"information":[14,37,80,99,116,194],"from":[15,45,161],"short":[16,46,94,151,219,226],"text":[17,47,95,220,227],"collections":[18,96],"is":[19,117,129],"valuable":[20],"for":[21,93,100,121,150],"many":[22],"applications.":[23],"Due":[24],"to":[25,40,89,175,209],"the":[26,50,114,154,167,182,188,206,229,233],"length":[27],"limitation,":[28],"conventional":[29],"topic":[30,91,126,147,221],"models":[31,222],"based":[32],"on":[33,70,109,223],"document-level":[34],"word":[35,53,105,145,159,178,186],"co-occurrence":[36,102],"often":[38],"fail":[39],"distill":[41,191],"semantically":[42],"coherent":[43],"topics":[44],"collections.":[48],"On":[49],"other":[51],"hand,":[52],"embeddings":[54,68,106,160],"as":[55,97],"powerful":[57],"tool":[58],"been":[60],"successfully":[61],"applied":[62],"in":[63,205,235],"natural":[64],"language":[65],"processing.":[66],"Word":[67],"trained":[69,108],"large":[71,110,162],"corpus":[72,112,164],"are":[73,107],"encoded":[74,115],"with":[75,171,216],"general":[76],"semantic":[77,192,211],"syntactic":[79],"words,":[82],"hence":[84],"they":[85],"can":[86,190,198],"be":[87,199],"leveraged":[88,201],"guide":[90],"modeling":[92],"supplementary":[98],"sparse":[101],"patterns.":[103],"However,":[104],"external":[111,163],"not":[118],"necessarily":[119],"suitable":[120],"training":[122],"data":[123],"set":[124],"models,":[127],"which":[128,197],"ignored":[130],"by":[131,202],"most":[132,236],"existing":[133],"models.":[134],"In":[135,153],"this":[136],"article,":[137],"we":[138,156],"propose":[139],"novel":[141],"global":[142,158,183],"local":[144,177,185],"embedding-based":[146],"model":[148,170],"(GLTM)":[149],"texts.":[152],"GLTM,":[155],"train":[157],"employ":[166],"continuous":[168],"skip-gram":[169],"negative":[172],"sampling":[173],"(SGNS)":[174],"obtain":[176],"embeddings.":[179],"Utilizing":[180],"both":[181],"embeddings,":[187],"GLTM":[189,231],"relatedness":[193],"between":[195],"words":[196],"further":[200],"Gibbs":[203],"sampler":[204],"inference":[207],"process":[208],"strengthen":[210],"coherence":[212],"topics.":[214],"Compared":[215],"five":[217],"state-of-the-art":[218],"four":[224],"real-world":[225],"collections,":[228],"proposed":[230],"exhibits":[232],"superiority":[234],"cases.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}