{"id":"https://openalex.org/W4313547839","doi":"https://doi.org/10.1109/taffc.2022.3233020","title":"Heterogeneous Reinforcement Learning Network for Aspect-Based Sentiment Classification With External Knowledge","display_name":"Heterogeneous Reinforcement Learning Network for Aspect-Based Sentiment Classification With External Knowledge","publication_year":2023,"publication_date":"2023-01-04","ids":{"openalex":"https://openalex.org/W4313547839","doi":"https://doi.org/10.1109/taffc.2022.3233020"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2022.3233020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2022.3233020","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Affective Computing","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/A5102822338","display_name":"Yukun Cao","orcid":"https://orcid.org/0000-0002-3066-3062"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yukun Cao","raw_affiliation_strings":["School of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3066-3062","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065148585","display_name":"Yijia Tang","orcid":"https://orcid.org/0000-0001-7585-9715"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijia Tang","raw_affiliation_strings":["Shanghai University of Electric Power, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7585-9715","affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028781275","display_name":"Haizhou Du","orcid":"https://orcid.org/0000-0002-1875-5159"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haizhou Du","raw_affiliation_strings":["School of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1875-5159","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045082466","display_name":"Feifei Xu","orcid":"https://orcid.org/0000-0001-8044-5912"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Xu","raw_affiliation_strings":["Shanghai University of Electric Power, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8044-5912","affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049620484","display_name":"Ziyue Wei","orcid":"https://orcid.org/0000-0001-8770-0576"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyue Wei","raw_affiliation_strings":["Shanghai University of Electric Power, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8770-0576","affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086291979","display_name":"Chengkun Jin","orcid":"https://orcid.org/0000-0003-0677-5192"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengkun Jin","raw_affiliation_strings":["Shanghai University of Electric Power, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0677-5192","affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102822338"],"corresponding_institution_ids":["https://openalex.org/I23632641"],"apc_list":null,"apc_paid":null,"fwci":4.2422,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.95190526,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"14","issue":"4","first_page":"3362","last_page":"3375"},"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/T10028","display_name":"Topic Modeling","score":0.9962000250816345,"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":0.9940000176429749,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.6304105520248413},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.625632643699646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.593097984790802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.564089298248291},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5628024339675903},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4632718563079834},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.444252073764801},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3512517511844635},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.343463659286499}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6304105520248413},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.625632643699646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.593097984790802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.564089298248291},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5628024339675903},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4632718563079834},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.444252073764801},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3512517511844635},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.343463659286499},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":1,"locations":[{"id":"doi:10.1109/taffc.2022.3233020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2022.3233020","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2159457224","https://openalex.org/W2250539671","https://openalex.org/W2251124635","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2252057809","https://openalex.org/W2465099471","https://openalex.org/W2507974895","https://openalex.org/W2518182934","https://openalex.org/W2561529111","https://openalex.org/W2605435278","https://openalex.org/W2788919350","https://openalex.org/W2891778157","https://openalex.org/W2896457183","https://openalex.org/W2907492528","https://openalex.org/W2911286998","https://openalex.org/W2925618549","https://openalex.org/W2949029099","https://openalex.org/W2950404230","https://openalex.org/W2951274974","https://openalex.org/W2962843214","https://openalex.org/W2963240575","https://openalex.org/W2963909901","https://openalex.org/W2964015378","https://openalex.org/W2964059932","https://openalex.org/W2964285257","https://openalex.org/W2965373594","https://openalex.org/W2970583420","https://openalex.org/W2970748008","https://openalex.org/W2970773744","https://openalex.org/W2971220558","https://openalex.org/W2978004179","https://openalex.org/W2978769718","https://openalex.org/W2982490267","https://openalex.org/W2996428491","https://openalex.org/W2997141632","https://openalex.org/W3003372423","https://openalex.org/W3003963580","https://openalex.org/W3004507689","https://openalex.org/W3012871709","https://openalex.org/W3035529900","https://openalex.org/W3035740499","https://openalex.org/W3044187822","https://openalex.org/W3045825587","https://openalex.org/W3094173182","https://openalex.org/W3100451998","https://openalex.org/W3103513278","https://openalex.org/W3104579227","https://openalex.org/W3122063025","https://openalex.org/W3135703617","https://openalex.org/W3150584131","https://openalex.org/W3173982660","https://openalex.org/W3174716710","https://openalex.org/W3175971420","https://openalex.org/W3176690085","https://openalex.org/W3176719207","https://openalex.org/W3177239031","https://openalex.org/W3199375888","https://openalex.org/W4213422824","https://openalex.org/W4286795917","https://openalex.org/W4293205624","https://openalex.org/W4297733535","https://openalex.org/W4312552362","https://openalex.org/W6631190155","https://openalex.org/W6684177244","https://openalex.org/W6697121895","https://openalex.org/W6726873649","https://openalex.org/W6727807531","https://openalex.org/W6737558694","https://openalex.org/W6745537798","https://openalex.org/W6754527452","https://openalex.org/W6766673545","https://openalex.org/W6767098714","https://openalex.org/W6768021236","https://openalex.org/W6769882624","https://openalex.org/W6776299446","https://openalex.org/W6777510101","https://openalex.org/W6781979894","https://openalex.org/W6789042779","https://openalex.org/W6792422883","https://openalex.org/W6795912543","https://openalex.org/W6797464607","https://openalex.org/W6801254374","https://openalex.org/W6804874457","https://openalex.org/W6805758663","https://openalex.org/W6838739837"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2548633793","https://openalex.org/W2028665553","https://openalex.org/W2941935829","https://openalex.org/W2086519370"],"abstract_inverted_index":{"Aspect-based":[0],"sentiment":[1,8,87,161],"classification":[2,162],"aims":[3],"to":[4,21,90],"automatically":[5],"predict":[6],"the":[7,11,23,26,29,41,45,50,55,59,119],"polarity":[9],"of":[10,35,44,62,121,151],"specific":[12],"aspect":[13,27],"in":[14],"a":[15,33,67,99,104],"text.":[16],"However,":[17],"it":[18],"is":[19,156],"challenging":[20],"confirm":[22],"mapping":[24],"between":[25],"and":[28,103,114,138],"core":[30],"context":[31,47],"since":[32],"number":[34],"existing":[36],"methods":[37],"concentrate":[38],"on":[39,54,127,142],"building":[40],"global":[42],"relations":[43],"full":[46],"rather":[48],"than":[49],"partial":[51],"connections":[52],"based":[53],"aspects.":[56],"Motivated":[57],"by":[58],"fundamental":[60],"insights":[61],"reinforcement":[63,107],"learning,":[64],"we":[65,123,146],"propose":[66],"novel":[68],"<underline":[69,73,77,81],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[70,74,78,82],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>H</b></u>":[71],"eterogeneous":[72],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>R</b></u>":[75],"einforcement":[76],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>L</b></u>":[79],"earning":[80],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><b>N</b></u>":[83],"etwork":[84],"for":[85,159],"aspect-based":[86,160],"analysis":[88],"(HRLN)":[89],"alleviate":[91],"these":[92],"issues,":[93],"which":[94,131],"contains":[95],"two":[96],"primary":[97],"components,":[98],"heterogeneous":[100],"network":[101],"module,":[102],"knowledge":[105,113],"graph-based":[106],"learning":[108],"module":[109],"consistent":[110],"with":[111],"common-sense":[112],"emotional":[115],"knowledge.":[116],"To":[117],"evaluate":[118],"effectiveness":[120],"HRLN,":[122],"conduct":[124],"extensive":[125],"experiments":[126],"five":[128],"benchmark":[129],"datasets,":[130],"indicate":[132],"that":[133],"HRLN":[134,154],"achieves":[135],"competitive":[136],"performance":[137],"yields":[139],"state-of-the-art":[140],"results":[141],"all":[143],"datasets.":[144],"Additionally,":[145],"present":[147],"an":[148],"intuitive":[149],"comprehension":[150],"why":[152],"our":[153],"model":[155],"more":[157],"robust":[158],"via":[163],"case":[164],"studies.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
