{"id":"https://openalex.org/W4312290969","doi":"https://doi.org/10.1109/tai.2022.3227535","title":"Syntactic Graph Attention Network for Aspect-Level Sentiment Analysis","display_name":"Syntactic Graph Attention Network for Aspect-Level Sentiment Analysis","publication_year":2022,"publication_date":"2022-12-08","ids":{"openalex":"https://openalex.org/W4312290969","doi":"https://doi.org/10.1109/tai.2022.3227535"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2022.3227535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2022.3227535","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Artificial Intelligence","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/A5048565908","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0003-3925-6225"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yuan","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0003-3925-6225","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113414416","display_name":"Jin Wang","orcid":"https://orcid.org/0000-0002-8298-4378"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Wang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-8298-4378","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085633092","display_name":"Liang-Chih Yu","orcid":"https://orcid.org/0000-0003-1443-4347"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Liang-Chih Yu","raw_affiliation_strings":["Department of Information Management, Yuan Ze University, Taoyuan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-1443-4347","affiliations":[{"raw_affiliation_string":"Department of Information Management, Yuan Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100707916","display_name":"Xuejie Zhang","orcid":"https://orcid.org/0000-0002-6591-0916"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejie Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-6591-0916","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5976,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.93688182,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"5","issue":"1","first_page":"140","last_page":"153"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9968000054359436,"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":0.994700014591217,"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":0.8134565353393555},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5967909693717957},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5882880091667175},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5860747694969177},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5779253244400024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5476429462432861},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.5363809466362},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5323218703269958},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.41320428252220154},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.387376606464386}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134565353393555},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5967909693717957},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5882880091667175},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5860747694969177},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5779253244400024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5476429462432861},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.5363809466362},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5323218703269958},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.41320428252220154},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.387376606464386}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2022.3227535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2022.3227535","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G1801391925","display_name":"\u9762\u5411\u5c0f\u8bed\u79cd\u7684\u9ad8\u6027\u80fd\u6587\u672c\u60c5\u611f\u5206\u6790\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61762091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3061438829","display_name":"\u57fa\u4e8e\u591a\u7ef4\u5ea6\u8fde\u7eed\u60c5\u611f\u7a7a\u95f4\u7684\u6587\u672c\u751f\u6210\u6280\u672f\u7814\u7a76","funder_award_id":"61966038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5940014036","display_name":null,"funder_award_id":"MOST 110-2628-E-155-002","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1980867644","https://openalex.org/W2116341502","https://openalex.org/W2165855670","https://openalex.org/W2250539671","https://openalex.org/W2251124635","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2252057809","https://openalex.org/W2253519362","https://openalex.org/W2267186426","https://openalex.org/W2465978385","https://openalex.org/W2496889969","https://openalex.org/W2562607067","https://openalex.org/W2613906735","https://openalex.org/W2757541972","https://openalex.org/W2765369538","https://openalex.org/W2891778157","https://openalex.org/W2898812668","https://openalex.org/W2947851192","https://openalex.org/W2950318504","https://openalex.org/W2963168371","https://openalex.org/W2963240575","https://openalex.org/W2964164368","https://openalex.org/W2969743835","https://openalex.org/W2970583420","https://openalex.org/W2970748008","https://openalex.org/W2971220558","https://openalex.org/W2991433488","https://openalex.org/W3003048870","https://openalex.org/W3007551217","https://openalex.org/W3038880648","https://openalex.org/W3080525460","https://openalex.org/W3100451998","https://openalex.org/W3160967194","https://openalex.org/W3175316843","https://openalex.org/W3177466950","https://openalex.org/W3199849862","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6636510571","https://openalex.org/W6676723433","https://openalex.org/W6726873649","https://openalex.org/W6727807531","https://openalex.org/W6732742072","https://openalex.org/W6736685754","https://openalex.org/W6738893770","https://openalex.org/W6748320467","https://openalex.org/W6753114942","https://openalex.org/W6758745265","https://openalex.org/W6760568010","https://openalex.org/W6765767330","https://openalex.org/W6788112476"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W2098784136","https://openalex.org/W2968543375","https://openalex.org/W4288558800","https://openalex.org/W2888625260","https://openalex.org/W2953770453","https://openalex.org/W2179743027","https://openalex.org/W4285169662","https://openalex.org/W4285666902","https://openalex.org/W2994684392"],"abstract_inverted_index":{"Aspect-level":[0],"sentiment":[1,9],"classification":[2],"(ASC)":[3],"is":[4,212],"designed":[5],"to":[6,25,50,71,87,90,95,106,141,159,168,187,193,214],"identify":[7],"the":[8,30,51,58,64,77,82,91,109,123,129,143,149,161,180,190,203,216,232],"orientation":[10],"of":[11,84,108,119,145,164,205],"given":[12],"aspect":[13,32,52,92,194],"terms":[14,93],"in":[15,116,122],"a":[16,73,135,208],"sentence.":[17],"Previous":[18],"neural":[19],"networks":[20],"have":[21],"used":[22],"attention":[23,66,138,162,211],"mechanisms":[24],"align":[26],"context":[27,44,85,191],"words":[28,45,86,192],"with":[29],"appropriate":[31],"terms.":[33,53,195],"Without":[34],"considering":[35,173],"syntactic":[36,97,104,130,136],"dependencies,":[37,131],"these":[38,100],"models":[39,101],"may":[40,114],"erroneously":[41],"focus":[42],"on":[43,76,226],"that":[46,231],"are":[47,69,154],"not":[48],"related":[49],"To":[54,125,196],"address":[55],"this":[56,132],"issue,":[57],"graph":[59,65,74,137,206,217],"convolution":[60],"network":[61,67,139],"(GCN)":[62],"and":[63,112,177,201],"(GAT)":[68],"proposed":[70,181],"build":[72],"based":[75],"dependency":[78,146,152,170,175],"parse":[79],"tree,":[80],"allowing":[81],"representations":[83,121,218],"be":[88,107],"propagated":[89],"according":[94,167],"their":[96,178],"dependencies.":[98],"However,":[99],"consider":[102],"all":[103],"dependencies":[105],"same":[110],"type,":[111],"thus":[113],"result":[115],"inappropriate":[117,185],"propagation":[118,186],"word":[120],"graph.":[124],"further":[126],"distinguish":[127],"between":[128],"study":[133],"proposes":[134],"(SGAN)":[140],"incorporate":[142],"knowledge":[144],"types":[147,153,176],"into":[148],"GAT.":[150],"The":[151,223],"modeled":[155],"as":[156],"edge":[157,166],"embeddings":[158],"learn":[160],"weight":[163],"each":[165],"its":[169],"type.":[171],"By":[172],"different":[174,221],"weights,":[179],"method":[182],"can":[183],"block":[184],"better":[188],"associate":[189],"increase":[197],"training":[198],"process":[199],"stability":[200],"enrich":[202],"diversity":[204],"representations,":[207],"weighted":[209],"multihead":[210],"applied":[213],"compose":[215],"generated":[219],"by":[220],"heads.":[222],"experimental":[224],"results":[225,237],"five":[227],"benchmark":[228],"datasets":[229],"show":[230],"SGAN":[233],"yields":[234],"more":[235],"accurate":[236],"than":[238],"existing":[239],"methods.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
