{"id":"https://openalex.org/W4394898152","doi":"https://doi.org/10.1145/3650400.3650472","title":"Aspect-based Sentiment Analysis with External Knowledge Embedding and Syntactic Information","display_name":"Aspect-based Sentiment Analysis with External Knowledge Embedding and Syntactic Information","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4394898152","doi":"https://doi.org/10.1145/3650400.3650472"},"language":"en","primary_location":{"id":"doi:10.1145/3650400.3650472","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650400.3650472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5019321551","display_name":"Fan Zhang","orcid":"https://orcid.org/0009-0004-5605-5083"},"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, China"],"raw_orcid":"https://orcid.org/0009-0004-5605-5083","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","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":false,"raw_author_name":"Wenbin Zheng","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-9183-796X","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, China","institution_ids":["https://openalex.org/I24201400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24201400"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"439","last_page":"444"},"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":0.9965000152587891,"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":0.9944999814033508,"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":0.8694773316383362},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7197529077529907},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6246511340141296},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5861504077911377},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5740375518798828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5589303374290466},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5275318622589111},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5264649987220764},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46409741044044495},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4517962634563446},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14688578248023987}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8694773316383362},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7197529077529907},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6246511340141296},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5861504077911377},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5740375518798828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5589303374290466},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5275318622589111},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5264649987220764},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46409741044044495},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4517962634563446},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14688578248023987},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3650400.3650472","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650400.3650472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2081580037","https://openalex.org/W2759136286","https://openalex.org/W3214413632","https://openalex.org/W4200182268","https://openalex.org/W4214687282","https://openalex.org/W4220706440","https://openalex.org/W4224325171","https://openalex.org/W4225647599","https://openalex.org/W4240935049","https://openalex.org/W4286511258","https://openalex.org/W4294631806","https://openalex.org/W4306711421","https://openalex.org/W4315489807"],"related_works":["https://openalex.org/W2597655663","https://openalex.org/W2604454537","https://openalex.org/W2808284704","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2954554213","https://openalex.org/W2251363251","https://openalex.org/W4206547516","https://openalex.org/W4293236197"],"abstract_inverted_index":{"Aspect-based":[0],"sentiment":[1,7,78],"analysis":[2],"(ABSA)":[3],"is":[4,38],"a":[5,49],"fine-grained":[6],"analysis.":[8],"The":[9],"current":[10],"research":[11],"mainly":[12],"focuses":[13],"on":[14,117],"context-based":[15],"and":[16,28,34,52,65,77,90,97,112,123],"syntactic":[17,26,53,63,94],"dependency-based":[18],"approaches.":[19],"However,":[20],"they":[21],"only":[22],"consider":[23],"the":[24,32,73,108,124,127],"inherent":[25],"connections":[27],"linguistic":[29],"properties":[30],"within":[31],"sentence,":[33],"much":[35],"additional":[36],"knowledge":[37,50,68,104],"not":[39],"considered":[40],"or":[41],"utilized.":[42],"To":[43],"handle":[44],"this":[45],"concern,":[46],"we":[47,102],"propose":[48],"embedding":[51],"information":[54],"enhancement":[55],"network":[56],"(KESE).":[57],"KESE":[58],"aims":[59],"to":[60,86,106],"fully":[61],"utilize":[62,81],"dependency":[64],"introduce":[66],"external":[67],"for":[69],"assisting":[70],"in":[71],"mining":[72],"connection":[74],"between":[75],"aspect":[76,88],"words.":[79],"We":[80,114],"an":[82],"aspect-oriented":[83],"attention":[84],"mechanism":[85],"capture":[87],"features":[89],"enhance":[91],"them":[92],"with":[93],"masking":[95],"networks":[96],"graph":[98],"convolutional":[99],"networks.":[100],"Furthermore,":[101],"embed":[103],"graphs":[105],"improve":[107],"recognition":[109],"of":[110,129],"aspects":[111],"sentiments.":[113],"conduct":[115],"experiments":[116],"several":[118],"publicly":[119],"accessible":[120],"ABSA":[121],"datasets,":[122],"results":[125],"demonstrate":[126],"effectiveness":[128],"our":[130],"proposed":[131],"KESE.":[132]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}