{"id":"https://openalex.org/W4400410342","doi":"https://doi.org/10.1109/tcss.2024.3418472","title":"DAGCN: Dual-Channel and Aspect-Aware Graph Convolutional Network for Aspect-Based Sentiment Analysis in Computational Social Systems","display_name":"DAGCN: Dual-Channel and Aspect-Aware Graph Convolutional Network for Aspect-Based Sentiment Analysis in Computational Social Systems","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4400410342","doi":"https://doi.org/10.1109/tcss.2024.3418472"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2024.3418472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3418472","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","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/A5008286525","display_name":"Wanneng Shu","orcid":"https://orcid.org/0000-0002-8589-2241"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanneng Shu","raw_affiliation_strings":["College of Computer Science, South-Central Minzu University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8589-2241","affiliations":[{"raw_affiliation_string":"College of Computer Science, South-Central Minzu University, Wuhan, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113146285","display_name":"Cao Zhai","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cao Zhai","raw_affiliation_strings":["College of Computer Science, South-Central Minzu University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0001-5646-8898","affiliations":[{"raw_affiliation_string":"College of Computer Science, South-Central Minzu University, Wuhan, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ke Yu","orcid":"https://orcid.org/0009-0008-3078-122X"},"institutions":[{"id":"https://openalex.org/I3017480383","display_name":"Southwest Medical University","ror":"https://ror.org/00g2rqs52","country_code":"CN","type":"funder","lineage":["https://openalex.org/I3017480383"]},{"id":"https://openalex.org/I4210086248","display_name":"Affiliated Hospital of Southwest Medical University","ror":"https://ror.org/0014a0n68","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210086248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Yu","raw_affiliation_strings":["Hospital of Clinical Medical College, Southwest Medical University, Luzhou, China","Affiliated Hospital of Clinical Medical College, Southwest Medical University, Luzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-3078-122X","affiliations":[{"raw_affiliation_string":"Hospital of Clinical Medical College, Southwest Medical University, Luzhou, China","institution_ids":["https://openalex.org/I3017480383","https://openalex.org/I4210086248"]},{"raw_affiliation_string":"Affiliated Hospital of Clinical Medical College, Southwest Medical University, Luzhou, China","institution_ids":["https://openalex.org/I3017480383"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5557,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70408326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"12","issue":"6","first_page":"5405","last_page":"5415"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9940999746322632,"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":0.9940999746322632,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9818000197410583,"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":0.7123246192932129},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5834457874298096},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5740734338760376},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4508596658706665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3811313807964325},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37627995014190674},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2151704728603363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7123246192932129},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5834457874298096},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5740734338760376},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4508596658706665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3811313807964325},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37627995014190674},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2151704728603363},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2024.3418472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3418472","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G787277982","display_name":null,"funder_award_id":"2024AFB704","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G894963094","display_name":null,"funder_award_id":"62373382","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"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2250539671","https://openalex.org/W2251124635","https://openalex.org/W2251648804","https://openalex.org/W2252057809","https://openalex.org/W2562607067","https://openalex.org/W2757541972","https://openalex.org/W2891778157","https://openalex.org/W2892094955","https://openalex.org/W2896457183","https://openalex.org/W2914820290","https://openalex.org/W2962808042","https://openalex.org/W2962946486","https://openalex.org/W2964164368","https://openalex.org/W2970038129","https://openalex.org/W2970583420","https://openalex.org/W2970748008","https://openalex.org/W2971014768","https://openalex.org/W2971220558","https://openalex.org/W2979860911","https://openalex.org/W2998964503","https://openalex.org/W3013708524","https://openalex.org/W3035529900","https://openalex.org/W3035740499","https://openalex.org/W3105174597","https://openalex.org/W3173982660","https://openalex.org/W3176719207","https://openalex.org/W3194889071","https://openalex.org/W4287854714","https://openalex.org/W4304957738","https://openalex.org/W4312908198","https://openalex.org/W4385245566","https://openalex.org/W4390277031"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W4285447065","https://openalex.org/W2952466936","https://openalex.org/W1988622314","https://openalex.org/W2393949104","https://openalex.org/W3046201198","https://openalex.org/W4293061921","https://openalex.org/W2807441102","https://openalex.org/W2009424630","https://openalex.org/W2952912015"],"abstract_inverted_index":{"It":[0],"is":[1,94,126,144],"crucial":[2],"to":[3,14,25,40,78,96,128,137,146],"mine":[4],"latent":[5],"sentiments":[6],"and":[7,19,47,63,75,107,132,153],"opinions":[8],"from":[9,117],"comments":[10],"on":[11,157],"social":[12],"media":[13],"comprehensively":[15],"understand":[16],"people's":[17],"preferences":[18],"experiences.":[20],"Aspect-based":[21],"sentiment":[22,28,52,82],"analysis":[23],"aims":[24],"identify":[26],"the":[27,73,81,114,148,151],"polarities":[29],"for":[30,84],"specific":[31,85,138],"aspects":[32,49],"of":[33,50],"a":[34,61,88,109,120,141],"sentence.":[35],"Mainstream":[36],"methods":[37],"generally":[38],"struggle":[39],"process":[41],"sentences":[42],"with":[43],"complex":[44],"syntactic":[45,74,89,99,152],"structures":[46],"multiple":[48,118],"different":[51],"polarities.":[53],"To":[54,112],"overcome":[55],"this":[56,58],"challenge,":[57],"article":[59],"proposes":[60],"dual-channel":[62],"aspect-aware":[64],"graph":[65,90,122],"convolutional":[66,91,123],"network":[67,92,124],"(DAGCN)":[68],"model,":[69],"which":[70],"fully":[71],"utilizes":[72],"semantic":[76,115,121,134,154],"information":[77,100],"accurately":[79],"capture":[80,129],"features":[83],"aspects.":[86,139],"Specifically,":[87],"module":[93,125,143],"designed":[95],"effectively":[97],"learn":[98],"by":[101],"constructing":[102],"an":[103],"aspect-oriented":[104],"dependency":[105],"tree":[106],"employing":[108],"gated":[110],"aggregator.":[111],"reduce":[113],"interference":[116],"aspects,":[119],"developed":[127],"both":[130],"local":[131],"global":[133],"correlations":[135],"corresponding":[136],"Furthermore,":[140],"BiAffine":[142],"integrated":[145],"facilitate":[147],"interaction":[149],"between":[150],"information.":[155],"Experiments":[156],"four":[158],"benchmark":[159],"datasets":[160],"illustrate":[161],"that":[162],"our":[163],"proposed":[164],"DAGCN":[165],"significantly":[166],"outperforms":[167],"state-of-the-art":[168],"baselines.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
