{"id":"https://openalex.org/W4392013945","doi":"https://doi.org/10.1007/s44196-024-00419-6","title":"Graph Convolutional Network with Syntactic Dependency for Aspect-Based Sentiment Analysis","display_name":"Graph Convolutional Network with Syntactic Dependency for Aspect-Based Sentiment Analysis","publication_year":2024,"publication_date":"2024-02-21","ids":{"openalex":"https://openalex.org/W4392013945","doi":"https://doi.org/10.1007/s44196-024-00419-6"},"language":"en","primary_location":{"id":"doi:10.1007/s44196-024-00419-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-024-00419-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00419-6.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00419-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100403424","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0001-9915-3952"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, Chengdu, 610225, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, 610225, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643353","display_name":"Wenbin Zheng","orcid":"https://orcid.org/0000-0002-9183-796X"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbin Zheng","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, Chengdu, 610225, China"],"raw_orcid":"https://orcid.org/0000-0002-9183-796X","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, 610225, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101047859","display_name":"Yujie Yang","orcid":"https://orcid.org/0000-0002-1567-2737"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Yang","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, Chengdu, 610225, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, 610225, China","institution_ids":["https://openalex.org/I24201400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100643353"],"corresponding_institution_ids":["https://openalex.org/I24201400"],"apc_list":{"value":2090,"currency":"USD","value_usd":2090},"apc_paid":{"value":2090,"currency":"USD","value_usd":2090},"fwci":4.1312,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.94361831,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"17","issue":"1","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":0.9811000227928162,"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":0.9574999809265137,"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":0.8432232141494751},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7679679989814758},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6285828351974487},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6267544031143188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6254624128341675},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5778403878211975},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5699185729026794},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5658606290817261},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.48591485619544983},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4356297552585602},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24807870388031006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8432232141494751},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7679679989814758},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6285828351974487},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6267544031143188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6254624128341675},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5778403878211975},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5699185729026794},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5658606290817261},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.48591485619544983},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4356297552585602},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24807870388031006},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44196-024-00419-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-024-00419-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00419-6.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d1f90921dba946cab4635d642e7c8d88","is_oa":true,"landing_page_url":"https://doaj.org/article/d1f90921dba946cab4635d642e7c8d88","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-13 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44196-024-00419-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-024-00419-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00419-6.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4387448078","display_name":null,"funder_award_id":"2019YJ0532","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G4727838017","display_name":null,"funder_award_id":"201908510026","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G8692314556","display_name":null,"funder_award_id":"2022NSFSC0571","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392013945.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W2251124635","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2251792193","https://openalex.org/W2252057809","https://openalex.org/W2562607067","https://openalex.org/W2962843214","https://openalex.org/W2963341956","https://openalex.org/W2963909901","https://openalex.org/W2964164368","https://openalex.org/W2970748008","https://openalex.org/W2971220558","https://openalex.org/W2997013919","https://openalex.org/W2998446468","https://openalex.org/W2998702685","https://openalex.org/W3003963580","https://openalex.org/W3035375600","https://openalex.org/W3035529900","https://openalex.org/W3096848254","https://openalex.org/W3100451998","https://openalex.org/W3100456868","https://openalex.org/W3105174597","https://openalex.org/W3106341067","https://openalex.org/W3118018449","https://openalex.org/W3119511932","https://openalex.org/W3164693096","https://openalex.org/W3167287584","https://openalex.org/W3171900338","https://openalex.org/W3176719207","https://openalex.org/W3210828003","https://openalex.org/W4205721122","https://openalex.org/W4210827551","https://openalex.org/W4229948749","https://openalex.org/W4280545936","https://openalex.org/W4285277253","https://openalex.org/W4286511258","https://openalex.org/W4286542121","https://openalex.org/W4306786738","https://openalex.org/W4309567576","https://openalex.org/W4313343239","https://openalex.org/W4315489807","https://openalex.org/W4317568744","https://openalex.org/W4381736065","https://openalex.org/W4381956284","https://openalex.org/W4387341818"],"related_works":["https://openalex.org/W2327631927","https://openalex.org/W2093568763","https://openalex.org/W1985166372","https://openalex.org/W2003096546","https://openalex.org/W2430210575","https://openalex.org/W4289354592","https://openalex.org/W2165069859","https://openalex.org/W2099112646","https://openalex.org/W2626477053","https://openalex.org/W2342550845"],"abstract_inverted_index":{"Abstract":[0],"Aspect-based":[1],"sentiment":[2,9,161],"analysis":[3],"(ABSA)":[4],"aims":[5],"to":[6,88,108,122,137],"mine":[7],"the":[8,23,27,37,60,85,90,111,117,125,139,182],"tendencies":[10],"expressed":[11],"by":[12,132],"specific":[13],"aspect":[14,152],"terms.":[15],"The":[16,163],"studies":[17],"of":[18,114,178,184],"ABSA":[19],"mainly":[20],"focus":[21],"on":[22,33,158],"attention-based":[24,38],"approaches":[25,31,50],"and":[26,65,94,101,116,144,148,176],"graph":[28,52],"neural":[29,53],"network":[30],"based":[32],"dependency":[34,97,128],"trees.":[35],"However,":[36],"methods":[39],"usually":[40],"face":[41],"difficulties":[42],"in":[43],"capturing":[44],"long-distance":[45,126],"syntactic":[46,61,92,96,127,140],"dependencies.":[47],"Additionally,":[48],"existing":[49],"using":[51],"networks":[54],"have":[55],"not":[56],"made":[57],"sufficient":[58],"exploit":[59],"dependencies":[62,93,141],"among":[63],"aspects":[64,100,115,143],"opinions.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70],"propose":[71],"a":[72],"novel":[73],"Syntactic":[74],"Dependency":[75],"Graph":[76],"Convolutional":[77],"Network":[78],"(SD-GCN)":[79],"model":[80,89],"for":[81],"ABSA.":[82],"We":[83,154],"employ":[84],"Biaffine":[86],"Attention":[87],"sentence":[91],"build":[95],"graphs":[98],"from":[99],"emotional":[102],"words.":[103],"This":[104],"allows":[105],"our":[106,168],"SD-GCN":[107,136,169],"learn":[109],"both":[110],"semantic":[112,119],"relationships":[113,129],"overall":[118],"meaning.":[120],"According":[121],"these":[123],"graphs,":[124],"are":[130],"captured":[131],"GCNs,":[133],"which":[134],"facilitates":[135],"capture":[138],"between":[142],"viewpoints":[145],"more":[146],"comprehensively,":[147],"consequently":[149],"yields":[150],"enhanced":[151],"features.":[153],"conduct":[155],"extensive":[156],"experiments":[157,175],"four":[159],"aspect-level":[160],"datasets.":[162],"experimental":[164],"results":[165],"show":[166],"that":[167],"outperforms":[170],"other":[171],"methodologies.":[172],"Moreover,":[173],"ablation":[174],"visualization":[177],"attention":[179],"further":[180],"substantiate":[181],"effectiveness":[183],"SD-GCN.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
