{"id":"https://openalex.org/W2964164368","doi":"https://doi.org/10.24963/ijcai.2017/568","title":"Interactive Attention Networks for Aspect-Level Sentiment Classification","display_name":"Interactive Attention Networks for Aspect-Level Sentiment Classification","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2964164368","doi":"https://doi.org/10.24963/ijcai.2017/568","mag":"2964164368"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/568","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/568","pdf_url":"https://www.ijcai.org/proceedings/2017/0568.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0568.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073156713","display_name":"Dehong Ma","orcid":"https://orcid.org/0000-0003-2215-5356"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehong Ma","raw_affiliation_strings":["Peking University","MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058353424","display_name":"Sujian Li","orcid":"https://orcid.org/0000-0001-7493-0786"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210157323","display_name":"South China Institute of Collaborative Innovation","ror":"https://ror.org/04jnpk588","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210157323","https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sujian Li","raw_affiliation_strings":["Collaborative Innovation Center for Language Ability","Peking University","Collaborative Innovation Center for Language Ability, Xuzhou, Jiangsu, 221009, China","MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center for Language Ability","institution_ids":[]},{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Collaborative Innovation Center for Language Ability, Xuzhou, Jiangsu, 221009, China","institution_ids":["https://openalex.org/I4210157323"]},{"raw_affiliation_string":"MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376181","display_name":"Xiaodong Zhang","orcid":"https://orcid.org/0000-0001-8211-0673"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Zhang","raw_affiliation_strings":["Peking University","MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025565222","display_name":"Houfeng Wang","orcid":"https://orcid.org/0000-0001-7130-1589"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210157323","display_name":"South China Institute of Collaborative Innovation","ror":"https://ror.org/04jnpk588","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210157323","https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houfeng Wang","raw_affiliation_strings":["Collaborative Innovation Center for Language Ability","Peking University","Collaborative Innovation Center for Language Ability, Xuzhou, Jiangsu, 221009, China","MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center for Language Ability","institution_ids":[]},{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Collaborative Innovation Center for Language Ability, Xuzhou, Jiangsu, 221009, China","institution_ids":["https://openalex.org/I4210157323"]},{"raw_affiliation_string":"MOE Key Lab of Computational Linguistics, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":45.957,"has_fulltext":false,"cited_by_count":1019,"citation_normalized_percentile":{"value":0.99838458,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4068","last_page":"4074"},"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":0.9950000047683716,"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":0.9940000176429749,"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/computer-science","display_name":"Computer science","score":0.8460730314254761},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7231091856956482},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6855561137199402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6685048341751099},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.6096696257591248},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5245885252952576},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.5028009414672852},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4257192313671112},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37964698672294617},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.08602604269981384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8460730314254761},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7231091856956482},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6855561137199402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6685048341751099},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.6096696257591248},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5245885252952576},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.5028009414672852},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4257192313671112},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37964698672294617},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.08602604269981384},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/568","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/568","pdf_url":"https://www.ijcai.org/proceedings/2017/0568.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/568","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/568","pdf_url":"https://www.ijcai.org/proceedings/2017/0568.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G633047379","display_name":"\u9762\u5411\u79d1\u6280\u6587\u732e\u7684\u5f15\u7528\u6458\u8981\u751f\u6210\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61572049","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"},{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964164368.pdf","grobid_xml":"https://content.openalex.org/works/W2964164368.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W71795751","https://openalex.org/W179875071","https://openalex.org/W319996907","https://openalex.org/W1589554437","https://openalex.org/W1930677882","https://openalex.org/W1980287119","https://openalex.org/W2108646579","https://openalex.org/W2113125055","https://openalex.org/W2117130368","https://openalex.org/W2131090205","https://openalex.org/W2140679639","https://openalex.org/W2164019165","https://openalex.org/W2166706824","https://openalex.org/W2250539671","https://openalex.org/W2251124635","https://openalex.org/W2251939518","https://openalex.org/W2252128625","https://openalex.org/W2296071000","https://openalex.org/W2529550020","https://openalex.org/W2562607067","https://openalex.org/W2951278869","https://openalex.org/W2963168371","https://openalex.org/W2963355447","https://openalex.org/W2964288660","https://openalex.org/W4285719527","https://openalex.org/W4387129082"],"related_works":["https://openalex.org/W3116116498","https://openalex.org/W3029012650","https://openalex.org/W1988325893","https://openalex.org/W2776212826","https://openalex.org/W3214323197","https://openalex.org/W2117643817","https://openalex.org/W47912076","https://openalex.org/W1984947604","https://openalex.org/W2270234620","https://openalex.org/W2783863087"],"abstract_inverted_index":{"Aspect-level":[0],"sentiment":[1,7,24,121],"classification":[2,25],"aims":[3],"at":[4],"identifying":[5],"the":[6,19,31,47,79,89,95,105,130],"polarity":[8],"of":[9,21,33,50,132],"specific":[10],"target":[11,112],"in":[12,23,88],"its":[13,114],"context.":[14],"Previous":[15],"approaches":[16],"have":[17],"realized":[18],"importance":[20],"targets":[22,59,98],"and":[26,60,65,91,93,99,113],"developed":[27],"various":[28],"methods":[29],"with":[30],"goal":[32],"precisely":[34],"modeling":[35,49],"thier":[36],"contexts":[37,61,90,100],"via":[38,73],"generating":[39],"target-specific":[40],"representations.":[41],"However,":[42],"these":[43],"studies":[44],"always":[45],"ignore":[46],"separate":[48],"targets.":[51],"In":[52],"this":[53,103],"paper,":[54],"we":[55,77],"argue":[56],"that":[57],"both":[58],"deserve":[62],"special":[63],"treatment":[64],"need":[66],"to":[67,84,120],"be":[68],"learned":[69],"their":[70],"own":[71],"representations":[72,96],"interactive":[74,80],"learning.":[75],"Then,":[76],"propose":[78],"attention":[81],"networks":[82],"(IAN)":[83],"interactively":[85],"learn":[86],"attentions":[87],"targets,":[92],"generate":[94],"for":[97],"separately.":[101],"With":[102],"design,":[104],"IAN":[106],"model":[107],"can":[108],"well":[109],"represent":[110],"a":[111],"collocative":[115],"context,":[116],"which":[117],"is":[118],"helpful":[119],"classification.":[122],"Experimental":[123],"results":[124],"on":[125],"SemEval":[126],"2014":[127],"Datasets":[128],"demonstrate":[129],"effectiveness":[131],"our":[133],"model.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":22},{"year":2025,"cited_by_count":87},{"year":2024,"cited_by_count":115},{"year":2023,"cited_by_count":151},{"year":2022,"cited_by_count":141},{"year":2021,"cited_by_count":171},{"year":2020,"cited_by_count":164},{"year":2019,"cited_by_count":132},{"year":2018,"cited_by_count":35},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
