{"id":"https://openalex.org/W4285688121","doi":"https://doi.org/10.1145/3366423.3380088","title":"Domain Adaptation with Category Attention Network for Deep Sentiment Analysis","display_name":"Domain Adaptation with Category Attention Network for Deep Sentiment Analysis","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W4285688121","doi":"https://doi.org/10.1145/3366423.3380088"},"language":"en","primary_location":{"id":"doi:10.1145/3366423.3380088","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380088","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3366423.3380088","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070602232","display_name":"Dongbo Xi","orcid":"https://orcid.org/0000-0001-7789-029X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongbo Xi","raw_affiliation_strings":["Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China and University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China and University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102969899","display_name":"Fuzhen Zhuang","orcid":"https://orcid.org/0000-0002-0520-2619"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzhen Zhuang","raw_affiliation_strings":["Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China and University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China and University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059582841","display_name":"Ganbin Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ganbin Zhou","raw_affiliation_strings":["Search Product Center, WeChat, Search Application Department, Tencent, China"],"affiliations":[{"raw_affiliation_string":"Search Product Center, WeChat, Search Application Department, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059118763","display_name":"Xiaohu Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu Cheng","raw_affiliation_strings":["Search Product Center, WeChat, Search Application Department, Tencent, China"],"affiliations":[{"raw_affiliation_string":"Search Product Center, WeChat, Search Application Department, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102486495","display_name":"Fen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fen Lin","raw_affiliation_strings":["Search Product Center, WeChat, Search Application Department, Tencent, China"],"affiliations":[{"raw_affiliation_string":"Search Product Center, WeChat, Search Application Department, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102191169","display_name":"Qing He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing He","raw_affiliation_strings":["Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China and University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China and University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070602232"],"corresponding_institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.5907,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.87262034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3133","last_page":"3139"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9976999759674072,"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":0.9975000023841858,"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":0.8040814399719238},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7582764625549316},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7512366771697998},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.688872218132019},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6644191145896912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6629074811935425},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5937700867652893},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5481021404266357},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44590863585472107},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40742963552474976},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36996927857398987},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11927935481071472},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.08021071553230286}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8040814399719238},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7582764625549316},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7512366771697998},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.688872218132019},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6644191145896912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6629074811935425},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5937700867652893},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5481021404266357},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44590863585472107},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40742963552474976},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36996927857398987},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11927935481071472},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.08021071553230286},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3366423.3380088","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380088","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3366423.3380088","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380088","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2136891251","https://openalex.org/W2163455955","https://openalex.org/W2770645414","https://openalex.org/W2963168418","https://openalex.org/W2963626623","https://openalex.org/W4297969478","https://openalex.org/W6637618735"],"related_works":["https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W2955455867","https://openalex.org/W4321649381","https://openalex.org/W3180787869","https://openalex.org/W2997645659","https://openalex.org/W3203792196","https://openalex.org/W4295929828","https://openalex.org/W3156096827","https://openalex.org/W4287890001"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,67,120],"tasks":[2],"such":[3],"as":[4,106],"cross-domain":[5,45],"sentiment":[6,46,56,63,178],"classification":[7,47,154],"aim":[8],"to":[9,28,50,87,116,133],"utilize":[10],"existing":[11],"labeled":[12,22],"data":[13,23,42],"in":[14,24,32],"the":[15,25,30,33,38,41,54,61,97,100,118,123,126,135,141,152,157,165,170,182],"source":[16],"domain":[17,27,35,119,166],"and":[18,58,80,90,104,111,181],"unlabeled":[19],"or":[20],"few":[21],"target":[26,34],"improve":[29,117],"performance":[31],"via":[36],"reducing":[37],"shift":[39],"between":[40],"distributions.":[43],"Existing":[44],"methods":[48],"need":[49],"distinguish":[51],"pivots,":[52],"i.e.,":[53,60],"domain-shared":[55],"words,":[57,64],"non-pivots,":[59],"domain-specific":[62],"for":[65],"excellent":[66],"performance.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72],"first":[73],"design":[74],"a":[75,83,91],"Category":[76],"Attention":[77],"Network":[78,94],"(CAN),":[79],"then":[81],"propose":[82],"model":[84,101,127,146,172],"named":[85],"CAN-CNN":[86,186],"integrate":[88],"CAN":[89],"Convolutional":[92],"Neural":[93],"(CNN).":[95],"On":[96],"one":[98],"hand,":[99,125],"regards":[102],"pivots":[103],"non-pivots":[105],"unified":[107],"category":[108,137,161],"attribute":[109,138],"words":[110],"can":[112,187],"automatically":[113],"capture":[114],"them":[115],"performance;":[121],"on":[122,175],"other":[124,189],"makes":[128],"an":[129],"attempt":[130],"at":[131],"interpretability":[132],"learn":[134],"transferred":[136],"words.":[139],"Specifically,":[140],"optimization":[142],"objective":[143],"of":[144,160],"our":[145],"has":[147],"three":[148,176],"different":[149],"components:":[150],"1)":[151],"supervised":[153],"loss;":[155],"2)":[156],"distributions":[158],"loss":[159],"feature":[162],"weights;":[163],"3)":[164],"invariance":[167],"loss.":[168],"Finally,":[169],"proposed":[171],"is":[173],"evaluated":[174],"public":[177],"analysis":[179],"datasets":[180],"results":[183],"demonstrate":[184],"that":[185],"outperform":[188],"various":[190],"baseline":[191],"methods.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
