{"id":"https://openalex.org/W2588293823","doi":"https://doi.org/10.1109/tkde.2017.2669027","title":"Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach","display_name":"Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach","publication_year":2017,"publication_date":"2017-02-14","ids":{"openalex":"https://openalex.org/W2588293823","doi":"https://doi.org/10.1109/tkde.2017.2669027","mag":"2588293823"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2017.2669027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2017.2669027","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Knowledge and Data Engineering","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/A5025881601","display_name":"Zhen Hai","orcid":"https://orcid.org/0000-0003-3582-4563"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Zhen Hai","raw_affiliation_strings":["Institute for Infocomm Research, A*STAR, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045198704","display_name":"Gao Cong","orcid":"https://orcid.org/0000-0002-4430-6373"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gao Cong","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110032352","display_name":"Kuiyu Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuiyu Chang","raw_affiliation_strings":["LinkSure China Holding Private Limited, Singapore"],"affiliations":[{"raw_affiliation_string":"LinkSure China Holding Private Limited, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346444","display_name":"Cheng Peng","orcid":"https://orcid.org/0000-0003-3516-7196"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Peng Cheng","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382077","display_name":"Chunyan Miao","orcid":"https://orcid.org/0000-0002-0300-3448"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chunyan Miao","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5025881601"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":8.938,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.98135726,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"29","issue":"6","first_page":"1172","last_page":"1185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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/T10028","display_name":"Topic Modeling","score":0.9947999715805054,"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":0.9940999746322632,"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":0.8643851280212402},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.783152163028717},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6873166561126709},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.587767481803894},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5776424407958984},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5294054746627808},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5203135013580322},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5104998350143433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4804358184337616},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4439643621444702},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43991583585739136},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.42424193024635315},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39286649227142334},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33226069808006287}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8643851280212402},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.783152163028717},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6873166561126709},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.587767481803894},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5776424407958984},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5294054746627808},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5203135013580322},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5104998350143433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4804358184337616},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4439643621444702},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43991583585739136},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.42424193024635315},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39286649227142334},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33226069808006287},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2017.2669027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2017.2669027","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5894194811","display_name":null,"funder_award_id":"ARC30/12","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"},{"id":"https://openalex.org/G6932587958","display_name":null,"funder_award_id":"RG 66/12","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"}],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"},{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"},{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"},{"id":"https://openalex.org/F4320321026","display_name":"Ministry of Earth Sciences","ror":"https://ror.org/013cf5k59"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W71795751","https://openalex.org/W190008395","https://openalex.org/W582033733","https://openalex.org/W1517771839","https://openalex.org/W1539312853","https://openalex.org/W1859957297","https://openalex.org/W1880262756","https://openalex.org/W1971889796","https://openalex.org/W1973116500","https://openalex.org/W1988772356","https://openalex.org/W1998257453","https://openalex.org/W2001082470","https://openalex.org/W2001587475","https://openalex.org/W2005624335","https://openalex.org/W2020999234","https://openalex.org/W2022204871","https://openalex.org/W2044429219","https://openalex.org/W2049493498","https://openalex.org/W2053978659","https://openalex.org/W2055729610","https://openalex.org/W2059811026","https://openalex.org/W2064594469","https://openalex.org/W2076623641","https://openalex.org/W2081375810","https://openalex.org/W2084046180","https://openalex.org/W2089982664","https://openalex.org/W2098062695","https://openalex.org/W2101769206","https://openalex.org/W2102152810","https://openalex.org/W2107474859","https://openalex.org/W2108420397","https://openalex.org/W2108646579","https://openalex.org/W2109634664","https://openalex.org/W2113459411","https://openalex.org/W2114524997","https://openalex.org/W2118027802","https://openalex.org/W2123751690","https://openalex.org/W2126854223","https://openalex.org/W2137191349","https://openalex.org/W2143570397","https://openalex.org/W2154416898","https://openalex.org/W2154970197","https://openalex.org/W2159457224","https://openalex.org/W2159637323","https://openalex.org/W2160409620","https://openalex.org/W2160660844","https://openalex.org/W2163459391","https://openalex.org/W2166559705","https://openalex.org/W2166706824","https://openalex.org/W2168625136","https://openalex.org/W2250981850","https://openalex.org/W2251292973","https://openalex.org/W2340855322","https://openalex.org/W4211186029","https://openalex.org/W4231510805","https://openalex.org/W4244030505","https://openalex.org/W4301861531","https://openalex.org/W6602989467","https://openalex.org/W6607826182","https://openalex.org/W6617084788","https://openalex.org/W6630938537","https://openalex.org/W6639206055","https://openalex.org/W6639619044","https://openalex.org/W6674735981","https://openalex.org/W6676621845","https://openalex.org/W6676984168","https://openalex.org/W6682449736"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2776613281","https://openalex.org/W2070797946"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,126],"focus":[4],"on":[5,138,146],"modeling":[6],"user-generated":[7],"review":[8,23,61,81,148],"and":[9,13,19,42,69,75,85,103,109,150],"overall":[10,30,92,121],"rating":[11],"pairs,":[12,68],"aim":[14],"to":[15,28,46],"identify":[16],"semantic":[17,107],"aspects":[18,108],"aspect-level":[20,110],"sentiments":[21,31,111,122],"from":[22],"data":[24],"as":[25,27,100],"well":[26],"predict":[29],"of":[32,66,79,120,123,135],"reviews.":[33,124],"We":[34,142],"propose":[35],"a":[36,55],"novel":[37],"probabilistic":[38],"supervised":[39],"joint":[40],"aspect":[41,73,84],"sentiment":[43,86,164],"model":[44,72,157],"(SJASM)":[45],"deal":[47],"with":[48,97],"the":[49,64,80,106,155],"problems":[50],"in":[51,63],"one":[52],"go":[53],"under":[54],"unified":[56],"framework.":[57],"SJASM":[58,136,144],"represents":[59],"each":[60],"document":[62],"form":[65],"opinion":[67,77],"can":[70,104],"simultaneously":[71],"terms":[74],"corresponding":[76],"words":[78],"for":[82,132,163],"hidden":[83],"detection.":[87],"It":[88],"also":[89,118,127],"leverages":[90],"sentimental":[91],"ratings,":[93],"which":[94],"often":[95],"come":[96],"online":[98],"reviews,":[99],"supervision":[101],"data,":[102,149],"infer":[105],"that":[112,154],"are":[113],"not":[114],"only":[115],"meaningful":[116],"but":[117],"predictive":[119],"Moreover,":[125],"develop":[128],"efficient":[129],"inference":[130],"method":[131],"parameter":[133],"estimation":[134],"based":[137],"collapsed":[139],"Gibbs":[140],"sampling.":[141],"evaluate":[143],"extensively":[145],"real-world":[147],"experimental":[151],"results":[152],"demonstrate":[153],"proposed":[156],"outperforms":[158],"seven":[159],"well-established":[160],"baseline":[161],"methods":[162],"analysis":[165],"tasks.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}