{"id":"https://openalex.org/W4312312175","doi":"https://doi.org/10.1109/access.2022.3228299","title":"Affective Knowledge Augmented Interactive Graph Convolutional Network for Chinese-Oriented Aspect-Based Sentiment Analysis","display_name":"Affective Knowledge Augmented Interactive Graph Convolutional Network for Chinese-Oriented Aspect-Based Sentiment Analysis","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312312175","doi":"https://doi.org/10.1109/access.2022.3228299"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3228299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228299","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09980354.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09980354.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086770091","display_name":"Qian Yang","orcid":"https://orcid.org/0000-0001-6653-4994"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Yang","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Ürümqi, China","Xinjiang Laboratory of Multi-Language Information Technology, Xinjiang University, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0001-6653-4994","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Ürümqi, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"Xinjiang Laboratory of Multi-Language Information Technology, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061296090","display_name":"Zaokere Kadeer","orcid":"https://orcid.org/0000-0001-9475-1101"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zaokere Kadeer","raw_affiliation_strings":["Xinjiang Laboratory of Multi-Language Information Technology, Xinjiang University, Ürümqi, China"],"raw_orcid":"https://orcid.org/0000-0001-9475-1101","affiliations":[{"raw_affiliation_string":"Xinjiang Laboratory of Multi-Language Information Technology, Xinjiang University, Ürümqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086490482","display_name":"Wenxia Gu","orcid":"https://orcid.org/0000-0001-9165-7312"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxia Gu","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Ürümqi, China"],"raw_orcid":"https://orcid.org/0000-0001-9165-7312","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Ürümqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053290799","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0003-4196-8600"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Sun","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Ürümqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Ürümqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077794475","display_name":"Aishan Wumaier","orcid":"https://orcid.org/0000-0003-1681-1089"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aishan Wumaier","raw_affiliation_strings":["Xinjiang Laboratory of Multi-Language Information Technology, Xinjiang University, Ürümqi, China"],"raw_orcid":"https://orcid.org/0000-0003-1681-1089","affiliations":[{"raw_affiliation_string":"Xinjiang Laboratory of Multi-Language Information Technology, Xinjiang University, Ürümqi, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.8568,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87387675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"130686","last_page":"130698"},"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":0.9955999851226807,"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":0.9646000266075134,"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":0.8225345015525818},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5544396042823792},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4499243497848511},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.43973302841186523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4221058487892151},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41430792212486267},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.359455943107605},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3468100130558014},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3297708332538605}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8225345015525818},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5544396042823792},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4499243497848511},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.43973302841186523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4221058487892151},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41430792212486267},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.359455943107605},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3468100130558014},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3297708332538605}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3228299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228299","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09980354.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7abbdc169fa340f1976afbd3044f5e5d","is_oa":false,"landing_page_url":"https://doaj.org/article/7abbdc169fa340f1976afbd3044f5e5d","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":"IEEE Access, Vol 10, Pp 130686-130698 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3228299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3228299","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09980354.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312312175.pdf","grobid_xml":"https://content.openalex.org/works/W4312312175.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W1501931667","https://openalex.org/W2031910238","https://openalex.org/W2251124635","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2252057809","https://openalex.org/W2296734373","https://openalex.org/W2465978385","https://openalex.org/W2529550020","https://openalex.org/W2562607067","https://openalex.org/W2757541972","https://openalex.org/W2766317792","https://openalex.org/W2788810909","https://openalex.org/W2788967885","https://openalex.org/W2790250716","https://openalex.org/W2891300059","https://openalex.org/W2891778157","https://openalex.org/W2896457183","https://openalex.org/W2898642169","https://openalex.org/W2910656009","https://openalex.org/W2916076862","https://openalex.org/W2936871749","https://openalex.org/W2946015932","https://openalex.org/W2952889708","https://openalex.org/W2962808042","https://openalex.org/W2963157366","https://openalex.org/W2963168371","https://openalex.org/W2963240575","https://openalex.org/W2963274454","https://openalex.org/W2963909901","https://openalex.org/W2964164368","https://openalex.org/W2964285257","https://openalex.org/W2970583420","https://openalex.org/W2970748008","https://openalex.org/W2971014768","https://openalex.org/W2971220558","https://openalex.org/W2981220581","https://openalex.org/W2998385486","https://openalex.org/W3029506370","https://openalex.org/W3034206885","https://openalex.org/W3035529900","https://openalex.org/W3035740499","https://openalex.org/W3044187822","https://openalex.org/W3083435909","https://openalex.org/W3094173182","https://openalex.org/W3100060077","https://openalex.org/W3100451998","https://openalex.org/W3100456868","https://openalex.org/W3117670243","https://openalex.org/W3118681031","https://openalex.org/W3122420389","https://openalex.org/W3159117141","https://openalex.org/W3167287584","https://openalex.org/W3168820831","https://openalex.org/W3171429818","https://openalex.org/W3172335055","https://openalex.org/W3173233571","https://openalex.org/W3176719207","https://openalex.org/W3196534367","https://openalex.org/W4205466691","https://openalex.org/W4206455206","https://openalex.org/W4282586475","https://openalex.org/W4322706667","https://openalex.org/W4384303990","https://openalex.org/W6633048663","https://openalex.org/W6689153543","https://openalex.org/W6727807531","https://openalex.org/W6731741027","https://openalex.org/W6752903856","https://openalex.org/W6754757669","https://openalex.org/W6755207826","https://openalex.org/W6759212163"],"related_works":["https://openalex.org/W3089396779","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2054026175"],"abstract_inverted_index":{"Aspect-based":[0],"sentiment":[1,7,20,34,75],"analysis(ABSA)":[2],"aims":[3],"to":[4,56,63,72,87,99,108,144],"identify":[5],"the":[6,19,29,33,42,48,51,58,65,68,78,88,93,100],"polarity":[8,21],"of":[9,22,28,36,47,67,77],"specific":[10,37],"aspects":[11,38,46],"in":[12,81,91,126],"sentences,":[13],"which":[14,127],"can":[15,141],"more":[16],"accurately":[17],"mine":[18],"users":[23],"towards":[24],"different":[25,45,82],"aspects.":[26],"Most":[27],"existing":[30,94],"works":[31],"derive":[32],"features":[35],"by":[39],"interactively":[40,73],"learning":[41],"dependencies":[43,76],"between":[44],"context.":[49],"However,":[50],"above":[52],"work":[53],"has":[54],"neglected":[55],"use":[57],"external":[59],"affective":[60,128],"commonsense":[61],"knowledge":[62,129],"augment":[64],"ability":[66],"Graph":[69],"Convolutional":[70],"Networks(GCNs)":[71],"capture":[74],"inter-aspect":[79],"words":[80],"contexts.":[83],"In":[84,117],"addition,":[85],"compared":[86],"ABSA":[89],"research":[90,95],"English,":[92],"pays":[96],"less":[97],"attention":[98],"Chinese-oriented":[101,134],"research.":[102],"Meanwhile,":[103],"multi-head":[104],"self-sttention(MHSA)":[105],"is":[106],"applied":[107,143],"extract":[109],"richer":[110],"context":[111],"syntax":[112],"and":[113,149,163,165],"semantic":[114],"interaction":[115],"features.":[116],"this":[118,139],"paper,":[119],"we":[120,154],"propose":[121],"a":[122],"novel":[123],"knowledge-aware":[124],"model":[125,140,181],"augments":[130],"interactive":[131],"GCN":[132],"for":[133],"ABSA,":[135],"namely":[136],"AKM-IGCN.":[137],"Moreover,":[138],"be":[142],"effectively":[145],"analyze":[146],"both":[147],"Chinese":[148,159],"English":[150,167],"comments":[151],"simultaneously.":[152],"Hence,":[153],"conducted":[155],"experiments":[156],"on":[157],"four":[158],"datasets(Camera,":[160],"Phone,":[161],"Notebook":[162],"Car)":[164],"six":[166],"benchmark":[168],"datasets(Restaurant14,":[169],"Restaurant15,":[170],"Restaurant16,":[171],"Twitter,":[172],"MAMS,":[173],"Tshirt).":[174],"Experimental":[175],"results":[176],"illustrate":[177],"that":[178],"our":[179],"proposed":[180],"outperforms":[182],"or":[183],"approaches":[184],"state-of-the-art":[185],"models.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}