{"id":"https://openalex.org/W2799100448","doi":"https://doi.org/10.18653/v1/p18-2120","title":"A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification","display_name":"A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2799100448","doi":"https://doi.org/10.18653/v1/p18-2120","mag":"2799100448"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-2120","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2120","pdf_url":"https://www.aclweb.org/anthology/P18-2120.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P18-2120.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101088107","display_name":"Zeyang Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zeyang Lei","raw_affiliation_strings":["Peking University Shenzhen Institute","Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Peking University Shenzhen Institute","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020953714","display_name":"Yujiu Yang","orcid":"https://orcid.org/0000-0002-6427-1024"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujiu Yang","raw_affiliation_strings":["Graduate School at Shenzhen, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Graduate School at Shenzhen, Tsinghua University","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083369457","display_name":"Min Yang","orcid":"https://orcid.org/0000-0001-7345-5071"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Yang","raw_affiliation_strings":["Peking University Shenzhen Institute"],"affiliations":[{"raw_affiliation_string":"Peking University Shenzhen Institute","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100330649","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0003-4238-6557"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101088107"],"corresponding_institution_ids":["https://openalex.org/I4210128628","https://openalex.org/I4210145761"],"apc_list":null,"apc_paid":null,"fwci":6.5765,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":{"value":0.97162499,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9958999752998352,"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":0.8546124696731567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7870610952377319},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.6986204981803894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6921764612197876},{"id":"https://openalex.org/keywords/negation","display_name":"Negation","score":0.6395360231399536},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5522348284721375},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5491752624511719},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.472280353307724},{"id":"https://openalex.org/keywords/distributional-semantics","display_name":"Distributional semantics","score":0.45181092619895935},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.43470337986946106},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4140390455722809},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4133962094783783},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14187124371528625},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.1290155053138733}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8546124696731567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7870610952377319},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.6986204981803894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6921764612197876},{"id":"https://openalex.org/C2185349","wikidata":"https://www.wikidata.org/wiki/Q190558","display_name":"Negation","level":2,"score":0.6395360231399536},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5522348284721375},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5491752624511719},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.472280353307724},{"id":"https://openalex.org/C2778828372","wikidata":"https://www.wikidata.org/wiki/Q5283209","display_name":"Distributional semantics","level":3,"score":0.45181092619895935},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.43470337986946106},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4140390455722809},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4133962094783783},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14187124371528625},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.1290155053138733},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p18-2120","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2120","pdf_url":"https://www.aclweb.org/anthology/P18-2120.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-2120","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-2120","pdf_url":"https://www.aclweb.org/anthology/P18-2120.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2799100448.pdf","grobid_xml":"https://content.openalex.org/works/W2799100448.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1847088711","https://openalex.org/W1903029394","https://openalex.org/W2064675550","https://openalex.org/W2084791978","https://openalex.org/W2129011250","https://openalex.org/W2157331557","https://openalex.org/W2160660844","https://openalex.org/W2166706824","https://openalex.org/W2170240176","https://openalex.org/W2176644656","https://openalex.org/W2250539671","https://openalex.org/W2251939518","https://openalex.org/W2470673105","https://openalex.org/W2552027021","https://openalex.org/W2562439797","https://openalex.org/W2567406479","https://openalex.org/W2593051978","https://openalex.org/W2597655663","https://openalex.org/W2739774142","https://openalex.org/W2767329425","https://openalex.org/W2785128315","https://openalex.org/W2951278869","https://openalex.org/W2962824509","https://openalex.org/W2963012544","https://openalex.org/W2963355447","https://openalex.org/W2963386218","https://openalex.org/W4308909683"],"related_works":["https://openalex.org/W2888662092","https://openalex.org/W3205826705","https://openalex.org/W2903394456","https://openalex.org/W2902285665","https://openalex.org/W3119550360","https://openalex.org/W2975174210","https://openalex.org/W4200238620","https://openalex.org/W2244029015","https://openalex.org/W2287843335","https://openalex.org/W2531705611"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"approaches":[2],"for":[3,83],"sentiment":[4,10,33,37,56,84],"classification":[5],"do":[6],"not":[7],"fully":[8],"exploit":[9],"linguistic":[11,34],"knowledge.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16],"propose":[17],"a":[18],"Multi-sentiment-resource":[19],"Enhanced":[20],"Attention":[21],"Network":[22],"(MEAN)":[23],"to":[24,71],"alleviate":[25],"the":[26,44,73,77],"problem":[27],"by":[28],"integrating":[29],"three":[30],"kinds":[31],"of":[32,55,76],"knowledge":[35],"(e.g.,":[36],"lexicon,":[38],"negation":[39,79],"words,":[40],"intensity":[41,81],"words)":[42],"into":[43],"deep":[45],"neural":[46],"network":[47],"via":[48],"attention":[49],"mechanisms.":[50],"By":[51],"using":[52],"various":[53],"types":[54],"resources,":[57],"MEAN":[58,91],"utilizes":[59],"sentiment-relevant":[60],"information":[61],"from":[62],"different":[63],"representation":[64],"subspaces,":[65],"which":[66],"makes":[67],"it":[68],"more":[69],"effective":[70],"capture":[72],"overall":[74],"semantics":[75],"sentiment,":[78],"and":[80],"words":[82],"prediction.":[85],"The":[86],"experimental":[87],"results":[88],"demonstrate":[89],"that":[90],"has":[92],"robust":[93],"superiority":[94],"over":[95],"strong":[96],"competitors.":[97]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}