{"id":"https://openalex.org/W4366381082","doi":"https://doi.org/10.1145/3584376.3584498","title":"Aspect-level Sentiment Analysis Based on Feature Enhancement and GCN","display_name":"Aspect-level Sentiment Analysis Based on Feature Enhancement and GCN","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4366381082","doi":"https://doi.org/10.1145/3584376.3584498"},"language":"en","primary_location":{"id":"doi:10.1145/3584376.3584498","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3584376.3584498","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584376.3584498?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3584376.3584498?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073758096","display_name":"Fan Cheng","orcid":"https://orcid.org/0000-0002-7043-0589"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Cheng","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080524059","display_name":"Fang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Wang","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083070890","display_name":"Shucheng Huang","orcid":"https://orcid.org/0000-0002-5435-5961"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shucheng Huang","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073758096"],"corresponding_institution_ids":["https://openalex.org/I4210096899"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18770965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":null,"first_page":"691","last_page":"695"},"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":0.9937000274658203,"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":0.9876999855041504,"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":0.8046473860740662},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7456822395324707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6459303498268127},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6123764514923096},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.5989981889724731},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5568662881851196},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5426318049430847},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.529147207736969},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4588937759399414},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.426448255777359},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10426574945449829},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08169800043106079}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8046473860740662},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7456822395324707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6459303498268127},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6123764514923096},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.5989981889724731},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5568662881851196},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5426318049430847},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.529147207736969},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4588937759399414},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.426448255777359},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10426574945449829},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08169800043106079},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584376.3584498","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3584376.3584498","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584376.3584498?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3584376.3584498","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3584376.3584498","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584376.3584498?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5760752404","display_name":null,"funder_award_id":"Projects","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7514903982","display_name":null,"funder_award_id":"61772244","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366381082.pdf","grobid_xml":"https://content.openalex.org/works/W4366381082.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2192604218","https://openalex.org/W2251124635","https://openalex.org/W2251294039","https://openalex.org/W2597589287","https://openalex.org/W2771576526","https://openalex.org/W2788810909","https://openalex.org/W2970748008","https://openalex.org/W3210828003"],"related_works":["https://openalex.org/W2294500472","https://openalex.org/W2923978210","https://openalex.org/W2393310712","https://openalex.org/W2101717290","https://openalex.org/W3209984204","https://openalex.org/W2059035017","https://openalex.org/W3085814693","https://openalex.org/W1979946414","https://openalex.org/W2098697817","https://openalex.org/W4312537596"],"abstract_inverted_index":{"The":[0],"aspect-level":[1,40,164],"sentiment":[2,34,41,93,102,146,165],"analysis":[3,42],"study":[4],"ignores":[5],"the":[6,18,22,25,28,39,54,71,76,86,101,110,161],"combination":[7],"of":[8,21,27,73,92,104,127,163],"syntactic":[9,19,30,65,143,154],"distance,":[10,142],"physical":[11,61,141],"distance":[12,62,66,144],"and":[13,15,32,49,64,68,89,99,122,130,145,149,156],"lexicality,":[14],"only":[16],"considers":[17],"structure":[20,31,88],"sentence,":[23],"lacking":[24],"mining":[26],"complete":[29,153],"deep":[33],"polarity":[35,94,147],"knowledge,":[36],"we":[37],"propose":[38],"model":[43],"FE-GCN":[44,135],"based":[45],"on":[46,85,116],"feature":[47],"enhancement":[48,84],"graph":[50,77],"convolutional":[51,78],"network.":[52],"First":[53],"hybrid":[55],"encoding":[56],"part":[57],"incorporates":[58,90],"lexical":[59],"features,":[60],"features":[63,67],"feeds":[69],"into":[70],"output":[72],"BiGRU,":[74],"then":[75],"network":[79],"layer":[80],"performs":[81],"aspect":[82,105],"weighting":[83],"tree":[87],"knowledge":[91,148],"to":[95],"obtain":[96],"important":[97],"information,":[98],"finally":[100],"category":[103],"words":[106],"is":[107],"obtained":[108],"after":[109],"classification":[111],"layer.":[112],"Experiments":[113],"were":[114],"conducted":[115],"three":[117],"public":[118],"datasets,":[119],"Lap14,":[120],"Rest14":[121],"Twitter,":[123],"with":[124],"accuracy":[125],"rates":[126],"84.49%,":[128],"87.99%":[129],"78.48%,":[131],"respectively,":[132],"indicating":[133],"that":[134],"can":[136,150],"better":[137],"integrate":[138],"semantic,":[139],"lexical,":[140],"store":[151],"more":[152],"structures,":[155],"has":[157],"some":[158],"advantages":[159],"in":[160],"field":[162],"analysis.":[166]},"counts_by_year":[],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
