{"id":"https://openalex.org/W3021411204","doi":"https://doi.org/10.1145/3372152","title":"Emo2Vec","display_name":"Emo2Vec","publication_year":2020,"publication_date":"2020-04-17","ids":{"openalex":"https://openalex.org/W3021411204","doi":"https://doi.org/10.1145/3372152","mag":"3021411204"},"language":"en","primary_location":{"id":"doi:10.1145/3372152","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372152","pdf_url":null,"source":{"id":"https://openalex.org/S97833917","display_name":"ACM Transactions on Internet Technology","issn_l":"1533-5399","issn":["1533-5399","1557-6051"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Internet Technology","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/A5100400143","display_name":"Shuo Wang","orcid":"https://orcid.org/0000-0002-1679-4824"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]},{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuo Wang","raw_affiliation_strings":["Information School of Renmin University, Key Laboratory of Machine Learning and Computational Intelligence of Hebei University, Haidian, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information School of Renmin University, Key Laboratory of Machine Learning and Computational Intelligence of Hebei University, Haidian, Beijing, P.R. China","institution_ids":["https://openalex.org/I78988378","https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007291207","display_name":"Aishan Maoliniyazi","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aishan Maoliniyazi","raw_affiliation_strings":["Information School of Renmin University, Haidian, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information School of Renmin University, Haidian, Beijing, P.R. China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088632671","display_name":"Xinle Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinle Wu","raw_affiliation_strings":["Information School of Renmin University, Haidian, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information School of Renmin University, Haidian, Beijing, P.R. China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101010043","display_name":"Xiaofeng Meng","orcid":"https://orcid.org/0000-0002-7889-2120"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Meng","raw_affiliation_strings":["Information School of Renmin University, Haidian, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information School of Renmin University, Haidian, Beijing, P.R. China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100400143"],"corresponding_institution_ids":["https://openalex.org/I43337087","https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":1.3601,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85135067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"20","issue":"2","first_page":"1","last_page":"17"},"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":0.9991000294685364,"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":0.9988999962806702,"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":0.8648403882980347},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8190621137619019},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.7461140751838684},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6629089713096619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6229031682014465},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6041706204414368},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.490982323884964},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.4658642113208771},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.45052793622016907},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13425308465957642}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8648403882980347},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8190621137619019},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.7461140751838684},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6629089713096619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6229031682014465},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6041706204414368},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.490982323884964},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.4658642113208771},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.45052793622016907},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13425308465957642},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3372152","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372152","pdf_url":null,"source":{"id":"https://openalex.org/S97833917","display_name":"ACM Transactions on Internet Technology","issn_l":"1533-5399","issn":["1533-5399","1557-6051"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Internet Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8299999833106995,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1190191444","display_name":null,"funder_award_id":"91846204, 91646203, 61532016, 61532010, 61762082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5673541693","display_name":null,"funder_award_id":"11XNL010","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1607035479","https://openalex.org/W1753891864","https://openalex.org/W1832693441","https://openalex.org/W1946086219","https://openalex.org/W1966797434","https://openalex.org/W2066454034","https://openalex.org/W2069084625","https://openalex.org/W2081580037","https://openalex.org/W2091084672","https://openalex.org/W2105468141","https://openalex.org/W2114315281","https://openalex.org/W2128837546","https://openalex.org/W2131462252","https://openalex.org/W2165938099","https://openalex.org/W2238728730","https://openalex.org/W2242874043","https://openalex.org/W2270941958","https://openalex.org/W2306941105","https://openalex.org/W2526529994","https://openalex.org/W2562607067","https://openalex.org/W2593713917","https://openalex.org/W2597589287","https://openalex.org/W2739774142","https://openalex.org/W2745862583","https://openalex.org/W2805744755","https://openalex.org/W2998704965","https://openalex.org/W4249142469"],"related_works":["https://openalex.org/W3003606604","https://openalex.org/W3040974839","https://openalex.org/W2795129682","https://openalex.org/W1984947604","https://openalex.org/W2905749112","https://openalex.org/W2346530426","https://openalex.org/W3101154008","https://openalex.org/W3099354896","https://openalex.org/W2890749918","https://openalex.org/W4287599800"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,80],"or":[2],"opinion":[3],"mining":[4],"for":[5,23,93,190,221,273],"subject":[6],"information":[7,148,201],"extraction":[8],"from":[9,131],"the":[10,28,35,43,59,73,90,94,108,118,146,158,165,171,203,211,227,234,264],"text":[11],"has":[12],"become":[13],"more":[14,16,199],"and":[15,25,31,68,86,121,134,254,268,276],"dependent":[17],"on":[18,63,139,252],"natural":[19,54],"language":[20,55],"processing,":[21],"especially":[22],"business":[24],"healthcare,":[26],"since":[27],"online":[29],"products":[30],"service":[32],"reviews":[33],"affect":[34],"consuming":[36],"behaviors.":[37],"Word":[38],"embeddings":[39,61,92,110,237,267,272],"that":[40,162,196,216,258],"can":[41,175,186,197,218,232,262],"map":[42],"words":[44,168,174],"to":[45,71,88,106,116,144,156,245],"low-dimensional":[46],"vector":[47,189],"representations":[48],"have":[49,242],"been":[50,243],"widely":[51],"used":[52],"in":[53,111,193],"processing":[56],"tasks.":[57],"But":[58],"word":[60,150,159,192,224,266],"based":[62,138],"context":[64],"such":[65],"as":[66],"Word2Vec":[67],"GloVe":[69],"fail":[70],"capture":[72,198],"sentiment":[74,79,91,200,271,274],"information.":[75],"Most":[76],"of":[77,101,142,183,210],"existing":[78],"methods":[81],"incorporate":[82],"emotional":[83,103,109,123,147,194,236],"polarity":[84,205],"(positive":[85],"negative)":[87],"improve":[89,157,263],"emotion":[95],"classification.":[96,278],"This":[97],"article":[98],"takes":[99],"advantage":[100,209],"an":[102,122],"psychology":[104],"model":[105,185,214,261],"learn":[107],"Chinese":[112,253],"first.":[113],"In":[114],"order":[115],"combine":[117],"semantic":[119],"space":[120,195],"space,":[124],"we":[125,231],"present":[126],"two":[127,153],"different":[128],"purifying":[129,213,229,260],"models":[130,154,241],"local":[132,212],"(LPM)":[133],"global":[135,228],"(GPM)":[136],"perspectives":[137],"Plutchik's":[140,181],"wheel":[141,182],"emotions":[143,184],"add":[145],"into":[149],"vectors.":[151],"The":[152,180,207,249],"aim":[155],"vectors":[160],"so":[161],"not":[163],"only":[164],"semantically":[166],"similar":[167,173],"but":[169],"also":[170],"sentimentally":[172],"be":[176,219],"closer":[177],"than":[178,202],"before.":[179],"give":[187],"eight-dimensional":[188],"one":[191],"binary":[204],"labels.":[206],"obvious":[208],"is":[215],"it":[217],"fit":[220],"any":[222],"pretrained":[223],"embeddings.":[225],"For":[226],"model,":[230],"get":[233],"final":[235],"at":[238],"once.":[239],"These":[240],"extended":[244],"handle":[246],"English":[247,255],"texts.":[248],"experimental":[250],"results":[251],"datasets":[256],"show":[257],"our":[259],"conventional":[265],"some":[269],"proposed":[270],"classification":[275],"multi-emotion":[277]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2020-05-13T00:00:00"}