{"id":"https://openalex.org/W4311057028","doi":"https://doi.org/10.1145/3572915","title":"AMSA: Adaptive Multimodal Learning for Sentiment Analysis","display_name":"AMSA: Adaptive Multimodal Learning for Sentiment Analysis","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4311057028","doi":"https://doi.org/10.1145/3572915"},"language":"en","primary_location":{"id":"doi:10.1145/3572915","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3572915","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"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 Multimedia Computing, Communications, and Applications","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/A5100696195","display_name":"Jingyao Wang","orcid":"https://orcid.org/0000-0003-1782-8704"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"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":"Jingyao Wang","raw_affiliation_strings":["Institute of Software Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1782-8704","affiliations":[{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013704823","display_name":"Luntian Mou","orcid":"https://orcid.org/0000-0002-1551-4448"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luntian Mou","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Faculty of Information, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1551-4448","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Faculty of Information, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462123","display_name":"\u041b\u0435\u0439 \u041c\u0430","orcid":"https://orcid.org/0000-0001-6024-3854"},"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":"Lei Ma","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6024-3854","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058066577","display_name":"Tiejun Huang","orcid":"https://orcid.org/0000-0002-4234-6099"},"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":"Tiejun Huang","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4234-6099","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101523804","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0001-8894-1806"},"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":"Wen Gao","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8894-1806","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4931,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.90769904,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"19","issue":"3s","first_page":"1","last_page":"21"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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":0.8340097665786743},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7073811888694763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6162533760070801},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46857118606567383},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.44369998574256897}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8340097665786743},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7073811888694763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6162533760070801},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46857118606567383},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.44369998574256897},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3572915","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3572915","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"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 Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3621289433","display_name":null,"funder_award_id":"61672068","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":66,"referenced_works":["https://openalex.org/W1965235124","https://openalex.org/W2006724638","https://openalex.org/W2048797745","https://openalex.org/W2053101950","https://openalex.org/W2072007696","https://openalex.org/W2074356411","https://openalex.org/W2173163709","https://openalex.org/W2465534249","https://openalex.org/W2526093969","https://openalex.org/W2531468424","https://openalex.org/W2562402914","https://openalex.org/W2575842049","https://openalex.org/W2584561145","https://openalex.org/W2586769279","https://openalex.org/W2729018917","https://openalex.org/W2734726005","https://openalex.org/W2738581557","https://openalex.org/W2753840835","https://openalex.org/W2759083144","https://openalex.org/W2759653627","https://openalex.org/W2767249564","https://openalex.org/W2767290858","https://openalex.org/W2767484504","https://openalex.org/W2768476704","https://openalex.org/W2772633765","https://openalex.org/W2787581402","https://openalex.org/W2800124572","https://openalex.org/W2883853499","https://openalex.org/W2897927512","https://openalex.org/W2899568491","https://openalex.org/W2904205492","https://openalex.org/W2912512851","https://openalex.org/W2913106281","https://openalex.org/W2920956473","https://openalex.org/W2947519199","https://openalex.org/W2949391930","https://openalex.org/W2954548939","https://openalex.org/W2972463723","https://openalex.org/W2978360381","https://openalex.org/W2984369117","https://openalex.org/W2993843842","https://openalex.org/W2997351497","https://openalex.org/W3002889861","https://openalex.org/W3017358282","https://openalex.org/W3035177206","https://openalex.org/W3039554467","https://openalex.org/W3081987387","https://openalex.org/W3095024162","https://openalex.org/W3097217916","https://openalex.org/W3102853424","https://openalex.org/W3115696196","https://openalex.org/W3123756285","https://openalex.org/W3125615400","https://openalex.org/W3128764679","https://openalex.org/W3169255552","https://openalex.org/W3174422331","https://openalex.org/W3176399185","https://openalex.org/W3177099139","https://openalex.org/W3185593275","https://openalex.org/W3188833721","https://openalex.org/W3211894574","https://openalex.org/W4200357302","https://openalex.org/W4238846128","https://openalex.org/W4239025696","https://openalex.org/W4289303992","https://openalex.org/W4299732308"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2326619756","https://openalex.org/W2024691726","https://openalex.org/W4224009465","https://openalex.org/W2909085234","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W3192794374","https://openalex.org/W4362613237"],"abstract_inverted_index":{"Efficient":[0],"recognition":[1],"of":[2,114,147,195,206],"emotions":[3],"has":[4],"attracted":[5],"extensive":[6],"research":[7],"interest,":[8],"which":[9],"makes":[10],"new":[11],"applications":[12],"in":[13,116,121,139],"many":[14],"fields":[15],"possible,":[16],"such":[17,60],"as":[18,61],"human-computer":[19],"interaction,":[20],"disease":[21],"diagnosis,":[22],"service":[23],"robots,":[24],"and":[25,48,64,83,93,119,143,191,199],"so":[26],"forth.":[27],"Although":[28],"existing":[29],"work":[30],"on":[31,35,186],"sentiment":[32,95,115],"analysis":[33,96],"relying":[34],"sensors":[36],"or":[37],"unimodal":[38],"methods":[39],"performs":[40],"well":[41],"for":[42,57,87,136,159],"simple":[43],"contexts":[44],"like":[45],"business":[46],"recommendation":[47],"facial":[49],"expression":[50],"recognition,":[51],"it":[52],"does":[53],"far":[54],"below":[55],"expectations":[56],"complex":[58],"scenes,":[59],"sarcasm,":[62],"disdain,":[63],"metaphors.":[65],"In":[66],"this":[67],"article,":[68],"we":[69],"propose":[70],"a":[71,99,104,126,163,175],"novel":[72,176],"two-stage":[73],"multimodal":[74,137],"learning":[75],"framework,":[76],"called":[77],"AMSA,":[78],"to":[79,110,132,169],"adaptively":[80],"learn":[81],"correlation":[82],"complementarity":[84],"between":[85],"modalities":[86],"dynamic":[88],"fusion,":[89],"achieving":[90],"more":[91],"stable":[92,112],"precise":[94],"results.":[97],"Specifically,":[98],"multiscale":[100],"attention":[101],"model":[102],"with":[103,211],"slice":[105],"positioning":[106],"scheme":[107,166],"is":[108,130,167],"proposed":[109,131,168],"get":[111],"quintuplets":[113],"images,":[117],"texts,":[118],"speeches":[120],"the":[122,140,145,148,204],"first":[123],"stage.":[124],"Then":[125],"Transformer-based":[127],"self-adaptive":[128],"network":[129],"assign":[133],"weights":[134],"flexibly":[135],"fusion":[138],"second":[141],"stage":[142],"update":[144],"parameters":[146],"loss":[149,177],"function":[150,178],"through":[151,174,209],"compensation":[152],"iteration.":[153],"To":[154],"quickly":[155],"locate":[156],"key":[157],"areas":[158],"efficient":[160],"affective":[161],"computing,":[162],"patch-based":[164],"selection":[165],"iteratively":[170],"remove":[171],"redundant":[172],"information":[173],"before":[179],"fusion.":[180],"Extensive":[181],"experiments":[182],"have":[183],"been":[184],"conducted":[185],"both":[187],"machine":[188],"weakly":[189],"labeled":[190],"manually":[192],"annotated":[193],"datasets":[194],"self-made":[196],"Video-SA,":[197],"CMU-MOSEI,":[198],"CMU-MOSI.":[200],"The":[201],"results":[202],"demonstrate":[203],"superiority":[205],"our":[207],"approach":[208],"comparison":[210],"baselines.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}