{"id":"https://openalex.org/W4405566544","doi":"https://doi.org/10.3390/sym16121687","title":"SI-GCN: Modeling Specific-Aspect and Inter-Aspect Graph Convolutional Networks for Aspect-Level Sentiment Analysis","display_name":"SI-GCN: Modeling Specific-Aspect and Inter-Aspect Graph Convolutional Networks for Aspect-Level Sentiment Analysis","publication_year":2024,"publication_date":"2024-12-19","ids":{"openalex":"https://openalex.org/W4405566544","doi":"https://doi.org/10.3390/sym16121687"},"language":"en","primary_location":{"id":"doi:10.3390/sym16121687","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16121687","pdf_url":"https://www.mdpi.com/2073-8994/16/12/1687/pdf?version=1734616825","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/16/12/1687/pdf?version=1734616825","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084453135","display_name":"Zexia Huang","orcid":"https://orcid.org/0000-0001-6737-1648"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]},{"id":"https://openalex.org/I4401041622","display_name":"Chengdu Technological University","ror":"https://ror.org/04713ex73","country_code":null,"type":"education","lineage":["https://openalex.org/I4401041622"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexia Huang","raw_affiliation_strings":["School of Big Data and Artifcial Intelligence, Chengdu Technological University, Chengdu 611730, China","School of Computer and Software Engineering, Xihua University, Chengdu 610039, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Artifcial Intelligence, Chengdu Technological University, Chengdu 611730, China","institution_ids":["https://openalex.org/I44468530","https://openalex.org/I4401041622"]},{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Chengdu 610039, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079179979","display_name":"Yihong Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihong Zhu","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, Chengdu 610039, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Chengdu 610039, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101636702","display_name":"Jinsong Hu","orcid":"https://orcid.org/0000-0001-5925-2104"},"institutions":[{"id":"https://openalex.org/I4401041622","display_name":"Chengdu Technological University","ror":"https://ror.org/04713ex73","country_code":null,"type":"education","lineage":["https://openalex.org/I4401041622"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinsong Hu","raw_affiliation_strings":["School of Big Data and Artifcial Intelligence, Chengdu Technological University, Chengdu 611730, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Artifcial Intelligence, Chengdu Technological University, Chengdu 611730, China","institution_ids":["https://openalex.org/I44468530","https://openalex.org/I4401041622"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100772833","display_name":"Xiaoliang Chen","orcid":"https://orcid.org/0000-0002-8201-9631"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoliang Chen","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, Chengdu 610039, China"],"raw_orcid":"https://orcid.org/0000-0002-8201-9631","affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Chengdu 610039, China","institution_ids":["https://openalex.org/I102345215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100772833","https://openalex.org/A5101636702"],"corresponding_institution_ids":["https://openalex.org/I102345215","https://openalex.org/I4401041622","https://openalex.org/I44468530"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20459158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"12","first_page":"1687","last_page":"1687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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":0.9980000257492065,"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":0.9966999888420105,"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":0.8225497007369995},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7263436913490295},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6070559024810791},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5061151385307312},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4994215965270996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4410153329372406},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37818747758865356},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3600153923034668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8225497007369995},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7263436913490295},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6070559024810791},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5061151385307312},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4994215965270996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4410153329372406},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37818747758865356},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3600153923034668},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/sym16121687","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16121687","pdf_url":"https://www.mdpi.com/2073-8994/16/12/1687/pdf?version=1734616825","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1d4671e027f2438fb3667d93d9f664c1","is_oa":false,"landing_page_url":"https://doaj.org/article/1d4671e027f2438fb3667d93d9f664c1","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 16, Iss 12, p 1687 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/sym16121687","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16121687","pdf_url":"https://www.mdpi.com/2073-8994/16/12/1687/pdf?version=1734616825","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G54323451","display_name":null,"funder_award_id":"62402395,61902324","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405566544.pdf","grobid_xml":"https://content.openalex.org/works/W4405566544.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W66373487","https://openalex.org/W2079735306","https://openalex.org/W2154352106","https://openalex.org/W2250539671","https://openalex.org/W2252057809","https://openalex.org/W2253519362","https://openalex.org/W2296071000","https://openalex.org/W2519887557","https://openalex.org/W2552110825","https://openalex.org/W2562607067","https://openalex.org/W2600702321","https://openalex.org/W2767210791","https://openalex.org/W2788810909","https://openalex.org/W2790309729","https://openalex.org/W2795988153","https://openalex.org/W2875308690","https://openalex.org/W2891778157","https://openalex.org/W2896457183","https://openalex.org/W2947851192","https://openalex.org/W2951278869","https://openalex.org/W2953092389","https://openalex.org/W2962808042","https://openalex.org/W2963168371","https://openalex.org/W2963964898","https://openalex.org/W2964164368","https://openalex.org/W2970583420","https://openalex.org/W2970748008","https://openalex.org/W2971220558","https://openalex.org/W2971297872","https://openalex.org/W2981220581","https://openalex.org/W2989092762","https://openalex.org/W2994401446","https://openalex.org/W2997013919","https://openalex.org/W3011965640","https://openalex.org/W3034206885","https://openalex.org/W3035529900","https://openalex.org/W3035740499","https://openalex.org/W3044187822","https://openalex.org/W3047695300","https://openalex.org/W3094173182","https://openalex.org/W3117670243","https://openalex.org/W3173982660","https://openalex.org/W3194889071","https://openalex.org/W4205721122","https://openalex.org/W4221117831","https://openalex.org/W4294842698","https://openalex.org/W4322102411","https://openalex.org/W4322706667","https://openalex.org/W4384303990","https://openalex.org/W4386990960","https://openalex.org/W4390702478","https://openalex.org/W4392563808","https://openalex.org/W4392746502","https://openalex.org/W4393142113","https://openalex.org/W4397032339","https://openalex.org/W4399795905","https://openalex.org/W4400659510","https://openalex.org/W4401907497","https://openalex.org/W6697136110","https://openalex.org/W6754884518","https://openalex.org/W6769473268"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2754876402"],"abstract_inverted_index":{"Aspect-level":[0],"sentiment":[1,8,37,87,100,156],"analysis":[2,138],"(ALSA)":[3],"aims":[4],"to":[5,68,97,117,130],"identify":[6],"the":[7,51,121,144],"polarity":[9],"associated":[10],"with":[11],"specific":[12],"aspects":[13,34,41,153],"in":[14,29,42,125,147],"textual":[15],"data.":[16],"However,":[17],"existing":[18,118],"methods":[19],"utilizing":[20],"graph":[21,95],"convolutional":[22],"networks":[23],"(GCNs)":[24],"face":[25],"significant":[26],"challenges,":[27],"particularly":[28],"analyzing":[30],"sentiments":[31],"for":[32,89],"multi-word":[33,103,158],"and":[35,53,65,102,105,160],"capturing":[36],"relationships":[38],"across":[39,132],"multiple":[40],"complex":[43],"sentences.":[44],"To":[45],"address":[46],"these":[47],"issues,":[48],"we":[49],"introduce":[50],"Specific-aspect":[52,81],"Inter-aspect":[54],"Graph":[55],"Convolutional":[56],"Network":[57],"(SI-GCN),":[58],"which":[59],"integrates":[60],"contextual":[61],"information,":[62],"syntactic":[63],"dependencies,":[64],"commonsense":[66],"knowledge":[67],"provide":[69],"a":[70,80,92,106],"robust":[71],"solution.":[72],"The":[73],"SI-GCN":[74,122,145],"model":[75],"incorporates":[76],"several":[77],"innovative":[78],"components:":[79],"GCN":[82],"module":[83],"that":[84,111,143],"effectively":[85],"captures":[86],"features":[88],"individual":[90],"aspects;":[91,104],"knowledge-enhanced":[93],"heterogeneous":[94],"designed":[96],"manage":[98],"implicit":[99],"expressions":[101],"dual":[107],"affine":[108],"attention":[109],"mechanism":[110],"accurately":[112],"models":[113],"inter-aspect":[114],"relationships.":[115],"Compared":[116],"state-of-the-art":[119],"methods,":[120],"achieves":[123],"improvements":[124],"performance":[126],"ranging":[127],"from":[128],"0.9%":[129],"2.3%":[131],"four":[133],"benchmark":[134],"datasets.":[135],"A":[136],"detailed":[137],"of":[139],"text":[140],"semantics":[141],"shows":[142],"excels":[146],"challenging":[148],"scenarios,":[149],"including":[150],"those":[151],"involving":[152],"without":[154],"explicit":[155],"indicators,":[157],"aspects,":[159],"informal":[161],"language":[162],"structures.":[163]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}