{"id":"https://openalex.org/W4321786028","doi":"https://doi.org/10.1142/s0219649222500976","title":"A Joint Model for Target-Oriented Opinion Words Extraction and Sentiment Classification","display_name":"A Joint Model for Target-Oriented Opinion Words Extraction and Sentiment Classification","publication_year":2023,"publication_date":"2023-02-18","ids":{"openalex":"https://openalex.org/W4321786028","doi":"https://doi.org/10.1142/s0219649222500976"},"language":"en","primary_location":{"id":"doi:10.1142/s0219649222500976","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219649222500976","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information &amp; Knowledge Management","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/A5023069973","display_name":"Chenyang Dai","orcid":"https://orcid.org/0000-0003-4596-4850"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Dai","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-4596-4850","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056603533","display_name":"Bo Shen","orcid":"https://orcid.org/0000-0003-3482-5783"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Shen","raw_affiliation_strings":["Beijing Key Laboratory of Communication and Systems, Beijing Jiaotong University, Beijing, P. R. China","School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Communication and Systems, Beijing Jiaotong University, Beijing, P. R. China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033521106","display_name":"Fengxiao Yan","orcid":"https://orcid.org/0000-0002-4955-3795"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengxiao Yan","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056603533"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.1704,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52101358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"22","issue":"03","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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":0.9987000226974487,"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":0.9986000061035156,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.8802101612091064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.825037956237793},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.7403801083564758},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6815317869186401},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5700924396514893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5688914060592651},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.5652316808700562},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5356860160827637},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5289530754089355},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.4978933334350586},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.49569618701934814},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.17109176516532898},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08518877625465393},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08412995934486389}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8802101612091064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.825037956237793},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.7403801083564758},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6815317869186401},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5700924396514893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5688914060592651},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.5652316808700562},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5356860160827637},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5289530754089355},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.4978933334350586},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.49569618701934814},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.17109176516532898},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08518877625465393},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08412995934486389},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219649222500976","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219649222500976","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information &amp; Knowledge Management","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:jikmxx:v:22:y:2023:i:03:n:s0219649222500976","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219649222500976","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W9328536","https://openalex.org/W1516184288","https://openalex.org/W1623072288","https://openalex.org/W2097752345","https://openalex.org/W2160660844","https://openalex.org/W2250539671","https://openalex.org/W2252007242","https://openalex.org/W2252024663","https://openalex.org/W2567277857","https://openalex.org/W2612690371","https://openalex.org/W2892737606","https://openalex.org/W2894666095","https://openalex.org/W2917458986","https://openalex.org/W2950404230","https://openalex.org/W2995100874","https://openalex.org/W3034884160","https://openalex.org/W3088472506","https://openalex.org/W3179812358","https://openalex.org/W3208152475"],"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/W2005801347","https://openalex.org/W2372385138","https://openalex.org/W2186640231","https://openalex.org/W4296359239","https://openalex.org/W1984947604"],"abstract_inverted_index":{"Target-oriented":[0],"opinion":[1,35,104],"word":[2,36],"extraction":[3,37],"and":[4,23,38,41,77,117,124],"aspect-level":[5],"sentiment":[6,15,39],"classification":[7],"are":[8,63],"two":[9,61,73],"highly":[10],"relevant":[11],"tasks":[12,62,111],"in":[13,43,58,102],"aspect-based":[14],"analysis.":[16],"Previous":[17],"studies":[18],"tend":[19],"to":[20,82],"separate":[21],"them":[22],"focus":[24],"on":[25],"one":[26],"of":[27,46,87,109,121],"the":[28,32,44,60,88,115,118],"tasks,":[29],"which":[30,59],"ignore":[31],"connection":[33,48],"between":[34],"classification,":[40],"result":[42],"waste":[45],"useful":[47],"information.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"propose":[54],"a":[55,66],"co-extraction":[56],"model,":[57],"formulated":[64],"as":[65],"sequence":[67],"labeling":[68],"problem.":[69],"The":[70,92,107],"model":[71,98,119],"involves":[72],"stacked":[74],"Bi-LSTM":[75],"modules":[76],"an":[78],"information":[79],"interaction":[80],"component":[81],"generate":[83],"all":[84],"opinion-polarity":[85],"pairs":[86],"input":[89],"sentences":[90],"simultaneously.":[91],"experimental":[93],"results":[94,101],"show":[95],"that":[96],"our":[97],"achieves":[99],"advanced":[100],"target":[103],"word-polarity":[105],"co-extraction.":[106],"performance":[108],"both":[110],"is":[112,120],"stronger":[113],"than":[114],"baseline,":[116],"low":[122],"complexity":[123],"high":[125],"operational":[126],"efficiency.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
