{"id":"https://openalex.org/W4409700800","doi":"https://doi.org/10.1145/3731758","title":"Aspect-based Sentiment Analysis for COVID-19: A Heterogeneous Graph Convolutional Network Approach","display_name":"Aspect-based Sentiment Analysis for COVID-19: A Heterogeneous Graph Convolutional Network Approach","publication_year":2025,"publication_date":"2025-04-23","ids":{"openalex":"https://openalex.org/W4409700800","doi":"https://doi.org/10.1145/3731758"},"language":"en","primary_location":{"id":"doi:10.1145/3731758","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731758","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","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/A5007118954","display_name":"Linlin Hou","orcid":"https://orcid.org/0000-0001-7221-6220"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Hou","raw_affiliation_strings":["Zhejiang Lab","Zhejiang Lab,  Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7221-6220","affiliations":[{"raw_affiliation_string":"Zhejiang Lab","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang Lab,  Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101199365","display_name":"Wenhui Tu","orcid":"https://orcid.org/0009-0000-8118-4267"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Tu","raw_affiliation_strings":["Wuhan University of Technology","Zhejiang Lab","Wuhan University of Technology,  Wuhan, China","Zhejiang Lab,  Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-8118-4267","affiliations":[{"raw_affiliation_string":"Wuhan University of Technology","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Zhejiang Lab","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Wuhan University of Technology,  Wuhan, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Zhejiang Lab,  Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080357184","display_name":"Ting Yu","orcid":"https://orcid.org/0000-0001-6386-1906"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Yu","raw_affiliation_strings":["Zhejiang Lab","Zhejiang Lab,  Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6386-1906","affiliations":[{"raw_affiliation_string":"Zhejiang Lab","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang Lab,  Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ting Jiang","orcid":"https://orcid.org/0009-0006-4786-6882"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Jiang","raw_affiliation_strings":["Zhejiang Lab","Zhejiang Lab,  Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-4786-6882","affiliations":[{"raw_affiliation_string":"Zhejiang Lab","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang Lab,  Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112527338","display_name":"Mohamed S. Bah","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mohamed Bah","raw_affiliation_strings":["Zhejiang Lab","Zhejiang Lab,  Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-0423-9505","affiliations":[{"raw_affiliation_string":"Zhejiang Lab","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang Lab,  Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069575392","display_name":"Zenghui Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenghui Xu","raw_affiliation_strings":["Zhejiang Lab","Zhejiang Lab,  Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-8729-5803","affiliations":[{"raw_affiliation_string":"Zhejiang Lab","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang Lab,  Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433675","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0003-0718-8045"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Zhejiang Lab","Zhejiang Lab,  Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0718-8045","affiliations":[{"raw_affiliation_string":"Zhejiang Lab","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang Lab,  Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003843948","display_name":"Gaoming Yang","orcid":"https://orcid.org/0000-0002-7666-1038"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaoming Yang","raw_affiliation_strings":["Anhui University of Science and Technology","Anhui University of Science and Technology,  Huainan, China"],"raw_orcid":"https://orcid.org/0000-0002-7666-1038","affiliations":[{"raw_affiliation_string":"Anhui University of Science and Technology","institution_ids":["https://openalex.org/I184681353"]},{"raw_affiliation_string":"Anhui University of Science and Technology,  Huainan, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036209774","display_name":"Ji Zhang","orcid":"https://orcid.org/0009-0009-5117-1663"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics","College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0009-5117-1663","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9718,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.9462744,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"24","issue":"6","first_page":"1","last_page":"26"},"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":0.9934999942779541,"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/T12488","display_name":"Mental Health via Writing","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.654644250869751},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6356521248817444},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5861907005310059},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5552402138710022},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5154884457588196},{"id":"https://openalex.org/keywords/network-analysis","display_name":"Network analysis","score":0.42319726943969727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3732643127441406},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24183404445648193},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09234622120857239},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09114867448806763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.654644250869751},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6356521248817444},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5861907005310059},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5552402138710022},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5154884457588196},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.42319726943969727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3732643127441406},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24183404445648193},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09234622120857239},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09114867448806763},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3731758","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731758","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4040329239","display_name":null,"funder_award_id":"62172372","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":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2562607067","https://openalex.org/W2911286998","https://openalex.org/W2913560138","https://openalex.org/W2945623882","https://openalex.org/W2963168371","https://openalex.org/W2963240575","https://openalex.org/W2963909901","https://openalex.org/W2964164368","https://openalex.org/W2964285257","https://openalex.org/W2971220558","https://openalex.org/W2997013919","https://openalex.org/W3045825587","https://openalex.org/W3080089785","https://openalex.org/W3085221026","https://openalex.org/W3106439716","https://openalex.org/W3117105764","https://openalex.org/W3121591929","https://openalex.org/W3122762307","https://openalex.org/W3124516888","https://openalex.org/W3153413534","https://openalex.org/W3157673814","https://openalex.org/W3161232318","https://openalex.org/W3167324926","https://openalex.org/W3176189029","https://openalex.org/W3176719207","https://openalex.org/W3184547037","https://openalex.org/W3204658930","https://openalex.org/W3205790857","https://openalex.org/W3206767510","https://openalex.org/W4200040242","https://openalex.org/W4200044348","https://openalex.org/W4200465069","https://openalex.org/W4205347394","https://openalex.org/W4205524535","https://openalex.org/W4210384051","https://openalex.org/W4213422824","https://openalex.org/W4220784480","https://openalex.org/W4221034982","https://openalex.org/W4226315692","https://openalex.org/W4280545936","https://openalex.org/W4281254250","https://openalex.org/W4281761658","https://openalex.org/W4282590759","https://openalex.org/W4287854714","https://openalex.org/W4296312542","https://openalex.org/W4301101316","https://openalex.org/W4304957738","https://openalex.org/W4306786738","https://openalex.org/W4312477539","https://openalex.org/W4312973566","https://openalex.org/W4313487628","https://openalex.org/W4317568744","https://openalex.org/W4321479942","https://openalex.org/W4380323684","https://openalex.org/W4385516949","https://openalex.org/W4387868934","https://openalex.org/W4388208682","https://openalex.org/W4388230746","https://openalex.org/W4392384344"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575","https://openalex.org/W2801635251"],"abstract_inverted_index":{"The":[0,162],"epidemic":[1],"of":[2,38,52,73,91,246],"infectious":[3,42],"diseases":[4,43],"has":[5],"a":[6,28,113,198],"significant":[7],"impact":[8],"on":[9,41,61,117,217],"society,":[10],"the":[11,50,74,78,95,131,134,234,244,247],"economy,":[12],"and":[13,23,68,101,133,159,173,176,187,191,201,208,239],"people\u2019s":[14],"lives.":[15],"Social":[16],"media,":[17],"with":[18,167,212],"its":[19],"high":[20],"user":[21],"participation":[22],"rapid":[24],"information":[25],"dissemination,":[26],"plays":[27],"crucial":[29],"role":[30],"in":[31,108,156,233],"shaping":[32],"public":[33,39,53,224],"opinion.":[34],"Fine-grained":[35],"sentiment":[36,147,214],"analysis":[37,148],"opinion":[40],"can":[44],"provide":[45],"valuable":[46],"insights":[47],"for":[48,145,151],"improving":[49],"quality":[51],"services.":[54],"However,":[55],"there":[56],"are":[57],"few":[58],"relevant":[59],"studies":[60,241],"Chinese":[62,158,199],"data":[63],"due":[64],"to":[65,88,104,143],"language":[66],"complexity":[67],"low":[69],"resources.":[70],"Moreover,":[71],"most":[72],"existing":[75],"approaches":[76],"utilize":[77],"Graph":[79],"Neural":[80],"Network":[81],"(GCN)":[82],"method":[83,115,229],"by":[84],"syntactic":[85],"dependency":[86],"trees":[87],"construct":[89],"graphs":[90],"text,":[92],"which":[93,125],"ignore":[94],"potential":[96],"link":[97],"relationships":[98,183],"between":[99,184,188],"aspects":[100],"words.":[102],"Therefore,":[103],"address":[105],"this":[106,109],"limitation,":[107],"article,":[110],"we":[111,196],"propose":[112],"new":[114],"based":[116],"GCN":[118],"using":[119],"aspect-specific":[120],"heterogeneous":[121,128,163],"graphs,":[122,129],"named":[123,209],"ASHGCN,":[124],"combines":[126],"BiLSTM,":[127],"GCN,":[130],"mask":[132],"attention":[135],"mechanism.":[136],"We":[137],"mine":[138],"social":[139],"media":[140],"posts":[141],"related":[142],"COVID-19":[144],"aspect-based":[146],"task":[149],"(ABSA)":[150],"ten":[152],"aspect":[153,185,189],"entity":[154],"types":[155,170],"both":[157],"English":[160,203],"data.":[161],"graph":[164],"is":[165],"designed":[166],"two":[168,223],"node":[169],"(aspect":[171],"nodes":[172],"non-aspect":[174,192],"nodes)":[175],"four":[177],"edge":[178],"connection":[179],"types,":[180],"including":[181],"various":[182],"entities,":[186,210],"entities":[190],"entities.":[193],"In":[194],"addition,":[195],"release":[197],"dataset":[200,204],"an":[202],"that":[205,227],"include":[206],"medical":[207],"along":[211],"corresponding":[213],"labels.":[215],"Experiments":[216],"our":[218,228],"datasets,":[219,225],"as":[220,222],"well":[221],"demonstrate":[226],"greatly":[230],"improves":[231],"performance":[232],"ABSA":[235],"task.":[236],"Ablation":[237],"experiments":[238],"case":[240],"further":[242],"support":[243],"effectiveness":[245],"proposed":[248],"approach.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-25T08:15:23.626066","created_date":"2025-10-10T00:00:00"}