{"id":"https://openalex.org/W7153869235","doi":"https://doi.org/10.1016/j.neucom.2026.133622","title":"CMSA: Addressing semantic discrepancy and context dependency in multimodal sentiment analysis","display_name":"CMSA: Addressing semantic discrepancy and context dependency in multimodal sentiment analysis","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7153869235","doi":"https://doi.org/10.1016/j.neucom.2026.133622"},"language":"en","primary_location":{"id":"doi:10.1016/j.neucom.2026.133622","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.133622","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.neucom.2026.133622","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133469069","display_name":"Jianing Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jianing Zhao","raw_affiliation_strings":["Graduate School of Human Sciences, Waseda University, Tokorozawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Human Sciences, Waseda University, Tokorozawa, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037408572","display_name":"Ou Deng","orcid":"https://orcid.org/0000-0003-1172-1789"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ou Deng","raw_affiliation_strings":["Graduate School of Human Sciences, Waseda University, Tokorozawa, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1172-1789","affiliations":[{"raw_affiliation_string":"Graduate School of Human Sciences, Waseda University, Tokorozawa, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061363755","display_name":"Qun Jin","orcid":"https://orcid.org/0000-0002-1325-4275"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Qun Jin","raw_affiliation_strings":["Department of Human Informatics and Cognitive Sciences, Faculty of Human Sciences, Waseda University, Tokorozawa, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1325-4275","affiliations":[{"raw_affiliation_string":"Department of Human Informatics and Cognitive Sciences, Faculty of Human Sciences, Waseda University, Tokorozawa, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061363755"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":{"value":2470,"currency":"USD","value_usd":2470},"apc_paid":{"value":2470,"currency":"USD","value_usd":2470},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.81754851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"685","issue":null,"first_page":"133622","last_page":"133622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.7644000053405762,"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":0.7644000053405762,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.037300001829862595,"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"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.03519999980926514,"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/dependency","display_name":"Dependency (UML)","score":0.7473000288009644},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6894000172615051},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6208000183105469},{"id":"https://openalex.org/keywords/distributional-semantics","display_name":"Distributional semantics","score":0.337799996137619},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.32670000195503235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7603999972343445},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7473000288009644},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6894000172615051},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6208000183105469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6166999936103821},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.590499997138977},{"id":"https://openalex.org/C2778828372","wikidata":"https://www.wikidata.org/wiki/Q5283209","display_name":"Distributional semantics","level":3,"score":0.337799996137619},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26820001006126404},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2655999958515167},{"id":"https://openalex.org/C40683218","wikidata":"https://www.wikidata.org/wiki/Q5260625","display_name":"Dependency theory (database theory)","level":4,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.neucom.2026.133622","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.133622","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.neucom.2026.133622","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.133622","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.707795262336731,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1822239915","https://openalex.org/W1988844742","https://openalex.org/W2239141610","https://openalex.org/W2584561145","https://openalex.org/W2799041689","https://openalex.org/W3156576211","https://openalex.org/W4205184193","https://openalex.org/W4210827551","https://openalex.org/W4225650823","https://openalex.org/W4285262944","https://openalex.org/W4296437441","https://openalex.org/W4311461310","https://openalex.org/W4322736091","https://openalex.org/W4377234444","https://openalex.org/W4385782081","https://openalex.org/W4388270316","https://openalex.org/W4389395682","https://openalex.org/W4402172635","https://openalex.org/W4403063401","https://openalex.org/W4408042467","https://openalex.org/W4410118057","https://openalex.org/W4410515608","https://openalex.org/W4410693039","https://openalex.org/W4412008170","https://openalex.org/W4412438081","https://openalex.org/W7084751619"],"related_works":[],"abstract_inverted_index":{"Multimodal":[0,60,82],"sentiment":[1,44,74,174,187,216],"analysis":[2,75,188],"(MSA)":[3],"has":[4],"emerged":[5],"as":[6,22,40,42,58,90],"a":[7,49,80,117,205],"powerful":[8],"approach":[9],"to":[10,57,72,94,135,179,194,196],"better":[11],"understand":[12],"human":[13],"emotions":[14],"by":[15,116,144],"integrating":[16],"information":[17,124],"from":[18,31],"multiple":[19],"modalities":[20,100,126],"such":[21],"text,":[23],"audio,":[24],"and":[25,34,69,84,102,177,199,215],"visual":[26],"data.":[27],"However,":[28],"challenges":[29],"arise":[30],"semantic":[32,106],"discrepancies":[33],"modality":[35,93,180,202],"conflicts":[36],"during":[37],"multimodal":[38,186,212],"fusion,":[39],"well":[41],"complex":[43],"scenes.":[45],"This":[46,110],"study":[47],"proposes":[48],"novel":[50],"framework":[51],"for":[52,208],"addressing":[53],"these":[54],"issues,":[55],"referred":[56],"Context-aware":[59,133,146],"Sentiment":[61],"Analysis":[62],"(CMSA),":[63],"which":[64],"incorporates":[65,132],"dynamic":[66],"correction":[67,97,111],"mechanisms":[68,134],"context-aware":[70],"adaptation":[71],"enhance":[73],"accuracy.":[76],"Specifically,":[77],"we":[78],"introduce":[79],"Text-guided":[81],"Alignment":[83],"Correction":[85],"module":[86],"that":[87,122],"leverages":[88],"text":[89],"the":[91,96,105,137,161],"dominant":[92],"guide":[95],"of":[98,163,172],"auxiliary":[99],"(audio":[101],"visual),":[103],"reducing":[104],"gap":[107],"between":[108],"them.":[109],"process":[112],"is":[113,127],"further":[114],"enhanced":[115],"cross-modal":[118],"alignment":[119],"mechanism,":[120],"ensuring":[121],"conflicting":[123],"across":[125,151],"resolved":[128],"effectively.":[129],"Additionally,":[130],"CMSA":[131,166],"adjust":[136],"model\u2019s":[138,192],"behavior":[139],"based":[140],"on":[141,156],"contextual":[142],"variations":[143],"utilizing":[145],"Mixture-of-Experts":[147],"(CMoE),":[148],"optimizing":[149],"performance":[150],"diverse":[152],"scenarios.":[153],"Experimental":[154],"results":[155],"several":[157],"benchmark":[158],"datasets":[159],"demonstrate":[160],"superiority":[162],"our":[164],"approach.":[165],"outperforms":[167],"state-of-the-art":[168],"methods":[169],"in":[170,185,211],"terms":[171],"both":[173],"classification":[175],"accuracy":[176],"robustness":[178],"conflicts,":[181],"confirming":[182],"its":[183],"effectiveness":[184],"tasks.":[189],"The":[190],"proposed":[191],"ability":[193],"adapt":[195],"different":[197],"contexts":[198],"dynamically":[200],"refine":[201],"contributions":[203],"presents":[204],"promising":[206],"direction":[207],"future":[209],"research":[210],"emotion":[213],"recognition":[214],"analysis.":[217]},"counts_by_year":[],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2026-04-13T00:00:00"}