{"id":"https://openalex.org/W4406387540","doi":"https://doi.org/10.1109/taffc.2025.3529732","title":"Multimodal Sentiment Analysis With Mutual Information-Based Disentangled Representation Learning","display_name":"Multimodal Sentiment Analysis With Mutual Information-Based Disentangled Representation Learning","publication_year":2025,"publication_date":"2025-01-15","ids":{"openalex":"https://openalex.org/W4406387540","doi":"https://doi.org/10.1109/taffc.2025.3529732"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2025.3529732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2025.3529732","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/A5058002649","display_name":"Hao Sun","orcid":"https://orcid.org/0000-0001-8094-1991"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Sun","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034985742","display_name":"Ziwei Niu","orcid":"https://orcid.org/0000-0003-0171-5158"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwei Niu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701041","display_name":"Hongyi Wang","orcid":"https://orcid.org/0009-0006-0034-0074"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyi Wang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001344569","display_name":"Xin\u2010Yao Yu","orcid":"https://orcid.org/0000-0003-3576-5815"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyao Yu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101949748","display_name":"Jiaqing Liu","orcid":"https://orcid.org/0000-0002-4468-7743"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiaqing Liu","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Ibaraki, Osaka, Japan","College of Information Science and Engineering, Ritsumeikan University, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Ibaraki, Osaka, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Ibaraki, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101700166","display_name":"Yen-Wei Chen","orcid":"https://orcid.org/0000-0002-8740-0351"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yen-Wei Chen","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Ibaraki, Osaka, Japan","College of Information Science and Engineering, Ritsumeikan University, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Ibaraki, Osaka, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Ibaraki, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090814258","display_name":"Lanfen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanfen Lin","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5058002649"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":17.3941,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98789933,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"16","issue":"3","first_page":"1606","last_page":"1617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9700999855995178,"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":0.9700999855995178,"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":0.9101999998092651,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.6892647743225098},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6800215244293213},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6670923829078674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5847777128219604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5566076636314392},{"id":"https://openalex.org/keywords/pointwise-mutual-information","display_name":"Pointwise mutual information","score":0.5119927525520325},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45064032077789307},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4399834871292114},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39633533358573914},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3390672206878662},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07298225164413452}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6892647743225098},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6800215244293213},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6670923829078674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5847777128219604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5566076636314392},{"id":"https://openalex.org/C7797323","wikidata":"https://www.wikidata.org/wiki/Q3798612","display_name":"Pointwise mutual information","level":3,"score":0.5119927525520325},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45064032077789307},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4399834871292114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39633533358573914},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3390672206878662},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07298225164413452},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2025.3529732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2025.3529732","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":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2092939357","https://openalex.org/W2093428321","https://openalex.org/W2118561568","https://openalex.org/W2120945046","https://openalex.org/W2122563357","https://openalex.org/W2166944917","https://openalex.org/W2250539671","https://openalex.org/W2293081071","https://openalex.org/W2313339984","https://openalex.org/W2556418146","https://openalex.org/W2787581402","https://openalex.org/W2883409523","https://openalex.org/W2896457183","https://openalex.org/W2937328183","https://openalex.org/W2963446712","https://openalex.org/W2963710346","https://openalex.org/W2964010806","https://openalex.org/W2964051877","https://openalex.org/W2964266095","https://openalex.org/W2971050617","https://openalex.org/W2981590713","https://openalex.org/W2981660166","https://openalex.org/W2981677410","https://openalex.org/W2981810796","https://openalex.org/W2982183006","https://openalex.org/W3000369298","https://openalex.org/W3016126711","https://openalex.org/W3039263585","https://openalex.org/W3045969489","https://openalex.org/W3093051361","https://openalex.org/W3097075955","https://openalex.org/W3116238789","https://openalex.org/W3177008256","https://openalex.org/W3182607842","https://openalex.org/W3198850411","https://openalex.org/W3206529771","https://openalex.org/W3214432797","https://openalex.org/W4214884471","https://openalex.org/W4243316134","https://openalex.org/W4288804239","https://openalex.org/W4304092664","https://openalex.org/W4304098327","https://openalex.org/W4308065851","https://openalex.org/W4312925669","https://openalex.org/W4313316139","https://openalex.org/W4327927444","https://openalex.org/W4361224014","https://openalex.org/W4385245566","https://openalex.org/W4386075879"],"related_works":["https://openalex.org/W2101924850","https://openalex.org/W2188315358","https://openalex.org/W4387724891","https://openalex.org/W2137853824","https://openalex.org/W2530029028","https://openalex.org/W2594350003","https://openalex.org/W2136482299","https://openalex.org/W31749436","https://openalex.org/W2337819340","https://openalex.org/W2070118902"],"abstract_inverted_index":{"Multimodal":[0],"sentiment":[1,185],"analysis":[2,186],"seeks":[3],"to":[4,10,29,66,161],"utilize":[5],"various":[6],"types":[7,110,175],"of":[8,63,70,94,111,127,143,165,172,176],"signals":[9],"identify":[11],"underlying":[12],"emotions":[13],"and":[14,54,77,116,123,130,190],"sentiments.":[15],"A":[16],"key":[17],"challenge":[18],"in":[19,23,149],"this":[20,82],"field":[21],"lies":[22],"multimodal":[24,35,50,102],"representation":[25,103],"learning,":[26],"which":[27],"aims":[28],"develop":[30],"effective":[31],"methods":[32],"for":[33],"integrating":[34],"features":[36,51],"into":[37,52],"cohesive":[38],"representations.":[39],"Recent":[40],"advancements":[41],"include":[42],"two":[43,96],"notable":[44],"approaches:":[45],"one":[46],"focuses":[47],"on":[48,183],"decomposing":[49],"modality-invariant":[53],"-specific":[55],"components,":[56],"while":[57],"the":[58,61,68,92,125,141,150,170],"other":[59],"emphasizes":[60],"use":[62],"mutual":[64,99,155,159],"information":[65,112,132,144,156,160,166],"enhance":[67],"fusion":[69,117],"modalities.":[71],"Both":[72],"strategies":[73],"have":[74],"demonstrated":[75],"effectiveness":[76],"yielded":[78],"remarkable":[79],"results.":[80],"In":[81],"paper,":[83],"we":[84,120,139],"propose":[85],"a":[86],"novel":[87],"learning":[88],"framework":[89],"that":[90],"combines":[91],"strengths":[93],"these":[95,173],"approaches,":[97],"termed":[98],"information-based":[100],"disentangled":[101],"learning.":[104],"Our":[105],"approach":[106,179],"involves":[107],"estimating":[108],"different":[109,174],"during":[113,133,137],"feature":[114,134],"extraction":[115],"stages.":[118],"Specifically,":[119],"quantitatively":[121],"assess":[122],"adjust":[124],"proportions":[126,171],"modality-invariant,":[128],"-specific,":[129],"-complementary":[131],"extraction.":[135],"Subsequently,":[136],"fusion,":[138],"evaluate":[140],"amount":[142],"retained":[145],"by":[146],"each":[147,163],"modality":[148],"fused":[151],"representation.":[152],"We":[153],"employ":[154],"or":[157],"conditional":[158],"estimate":[162],"type":[164],"content.":[167],"By":[168],"reconciling":[169],"information,":[177],"our":[178],"achieves":[180],"state-of-the-art":[181],"performance":[182],"popular":[184],"benchmarks,":[187],"including":[188],"CMU-MOSI":[189],"CMU-MOSEI.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}