{"id":"https://openalex.org/W4408716303","doi":"https://doi.org/10.1109/taffc.2025.3553149","title":"Injecting Multimodal Information Into Pre-Trained Language Model for Multimodal Sentiment Analysis","display_name":"Injecting Multimodal Information Into Pre-Trained Language Model for Multimodal Sentiment Analysis","publication_year":2025,"publication_date":"2025-03-21","ids":{"openalex":"https://openalex.org/W4408716303","doi":"https://doi.org/10.1109/taffc.2025.3553149"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2025.3553149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2025.3553149","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/A5010270301","display_name":"Sijie Mai","orcid":"https://orcid.org/0000-0001-9763-375X"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijie Mai","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9763-375X","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085190039","display_name":"Ying Zeng","orcid":"https://orcid.org/0000-0001-8842-2045"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zeng","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0000-0001-8842-2045","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020065507","display_name":"Aolin Xiong","orcid":"https://orcid.org/0009-0005-2301-7897"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aolin Xiong","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0009-0005-2301-7897","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056953478","display_name":"Haifeng Hu","orcid":"https://orcid.org/0000-0002-4884-323X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Hu","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","School of Electronics and Information Technology, Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0000-0002-4884-323X","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.9638,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.99082845,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"16","issue":"3","first_page":"2074","last_page":"2089"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9887999892234802,"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":0.9887999892234802,"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":0.9581000208854675,"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":0.9323999881744385,"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":0.7861388325691223},{"id":"https://openalex.org/keywords/multimodal-therapy","display_name":"Multimodal therapy","score":0.5754009485244751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.569898247718811},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5611419677734375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5404139757156372},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3580126166343689},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3332541882991791},{"id":"https://openalex.org/keywords/psychotherapist","display_name":"Psychotherapist","score":0.07738703489303589}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7861388325691223},{"id":"https://openalex.org/C4441509","wikidata":"https://www.wikidata.org/wiki/Q6418787","display_name":"Multimodal therapy","level":2,"score":0.5754009485244751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.569898247718811},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5611419677734375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5404139757156372},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3580126166343689},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3332541882991791},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.07738703489303589}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2025.3553149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2025.3553149","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":[{"display_name":"Quality Education","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G8307738215","display_name":null,"funder_award_id":"62076262","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W2556418146","https://openalex.org/W2583643061","https://openalex.org/W2584561145","https://openalex.org/W2619383789","https://openalex.org/W2767249564","https://openalex.org/W2883409523","https://openalex.org/W2886193235","https://openalex.org/W2896457183","https://openalex.org/W2915602689","https://openalex.org/W2946218857","https://openalex.org/W2950635152","https://openalex.org/W2962931510","https://openalex.org/W2963063161","https://openalex.org/W2964010806","https://openalex.org/W2964051877","https://openalex.org/W2964216321","https://openalex.org/W2964216663","https://openalex.org/W2964346351","https://openalex.org/W2970231061","https://openalex.org/W2982104868","https://openalex.org/W2985882473","https://openalex.org/W2997573100","https://openalex.org/W2998356391","https://openalex.org/W3034266838","https://openalex.org/W3093051361","https://openalex.org/W3093400813","https://openalex.org/W3096831136","https://openalex.org/W3128412859","https://openalex.org/W3141688548","https://openalex.org/W3173396651","https://openalex.org/W3175552668","https://openalex.org/W3197875592","https://openalex.org/W3198377975","https://openalex.org/W3205872166","https://openalex.org/W3211692312","https://openalex.org/W4214875575","https://openalex.org/W4221154966","https://openalex.org/W4285149123","https://openalex.org/W4285248692","https://openalex.org/W4285261162","https://openalex.org/W4304084201","https://openalex.org/W4304092664","https://openalex.org/W4307227095","https://openalex.org/W4308600730","https://openalex.org/W4309769112","https://openalex.org/W4313639237","https://openalex.org/W4384207713","https://openalex.org/W4385245566","https://openalex.org/W4385494537","https://openalex.org/W4385502046","https://openalex.org/W4385570923","https://openalex.org/W4385573848","https://openalex.org/W4385976130","https://openalex.org/W4386057714","https://openalex.org/W4386075879","https://openalex.org/W4388193218","https://openalex.org/W4396843654","https://openalex.org/W4400350678","https://openalex.org/W4401042228","https://openalex.org/W4402671873"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575","https://openalex.org/W3204019825"],"abstract_inverted_index":{"With":[0],"the":[1,43,72,86,100,121,138,145,161,176],"increasing":[2],"availability":[3],"of":[4,45,74,102,123,147,163,178],"computational":[5],"and":[6,143,154,166,196],"data":[7],"resources,":[8],"numerous":[9],"powerful":[10],"pre-trained":[11,124],"language":[12,19,87,125],"models":[13],"(PLMs)":[14],"have":[15],"emerged":[16],"for":[17],"natural":[18],"processing":[20],"tasks.":[21,199],"However,":[22],"how":[23],"to":[24,30,67,81,98,136,159,172],"inject":[25],"nonverbal":[26,103,130],"modalities":[27,131,165],"into":[28],"PLMs":[29],"handle":[31],"multimodal":[32,48,61,117,148,193],"information":[33,104,118,142],"remains":[34],"a":[35,52,95],"practical":[36],"problem.":[37],"In":[38,110,127],"this":[39,111],"paper,":[40],"we":[41,70,93,113],"explore":[42],"application":[44],"PLM":[46],"on":[47,192],"sentiment":[49,194],"analysis":[50,195],"from":[51,119],"different":[53],"perspective.":[54],"Unlike":[55],"many":[56],"recent":[57],"methods":[58,191],"that":[59,64,78,185],"develop":[60],"fusion":[62],"layers":[63],"are":[65,157],"sequential":[66],"attention":[68,77,82],"layers,":[69,83],"investigate":[71],"effectiveness":[73],"cross-modal":[75,152],"additive":[76],"is":[79],"parallel":[80],"which":[84,171],"takes":[85],"modality":[88],"as":[89,133],"dominant":[90],"modality.":[91],"Moreover,":[92],"devise":[94],"gating":[96],"mechanism":[97],"control":[99],"flow":[101],"by":[105],"estimating":[106],"its":[107],"discriminative":[108],"level.":[109],"way,":[112],"can":[114],"prevent":[115],"noisy":[116],"damaging":[120],"performance":[122],"model.":[126],"our":[128,186],"framework,":[129],"serve":[132],"auxiliary":[134],"roles":[135],"provide":[137],"model":[139],"with":[140],"additional":[141],"improve":[144],"understanding":[146],"human":[149],"language.":[150],"Additionally,":[151],"margin":[153],"matching":[155],"losses":[156],"proposed":[158],"align":[160],"distributions":[162],"various":[164],"simultaneously":[167],"retain":[168],"modality-specific":[169],"information,":[170],"some":[173],"extent":[174],"address":[175],"shortcoming":[177],"contrastive":[179],"learning":[180],"loss.":[181],"Comprehensive":[182],"experiments":[183],"show":[184],"approach":[187],"surpasses":[188],"existing":[189],"state-of-the-art":[190],"emotion":[197],"recognition":[198]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":6}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
