{"id":"https://openalex.org/W4409149095","doi":"https://doi.org/10.1016/j.asoc.2025.113078","title":"Multimodal sentiment analysis with text-augmented cross-modal feature interaction attention network","display_name":"Multimodal sentiment analysis with text-augmented cross-modal feature interaction attention network","publication_year":2025,"publication_date":"2025-04-04","ids":{"openalex":"https://openalex.org/W4409149095","doi":"https://doi.org/10.1016/j.asoc.2025.113078"},"language":"en","primary_location":{"id":"doi:10.1016/j.asoc.2025.113078","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.asoc.2025.113078","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"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":"Applied Soft Computing","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.asoc.2025.113078","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089710176","display_name":"Huanxiang Zhang","orcid":"https://orcid.org/0000-0001-6916-4052"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I31637741","display_name":"Inner Mongolia University of Science and Technology","ror":"https://ror.org/044rgx723","country_code":"CN","type":"education","lineage":["https://openalex.org/I31637741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanxiang Zhang","raw_affiliation_strings":["College of Innovation and Entrepreneurship Education, Inner Mongolia University of Science and Technology, Baotou, China","School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Innovation and Entrepreneurship Education, Inner Mongolia University of Science and Technology, Baotou, China","institution_ids":["https://openalex.org/I31637741"]},{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111076545","display_name":"Junjie Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]},{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junjie Peng","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China","Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]},{"raw_affiliation_string":"Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100804728","display_name":"Zesu Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zesu Cai","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111076545"],"corresponding_institution_ids":["https://openalex.org/I113940042","https://openalex.org/I141962983"],"apc_list":{"value":3350,"currency":"USD","value_usd":3350},"apc_paid":{"value":3350,"currency":"USD","value_usd":3350},"fwci":9.851,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.97585855,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"175","issue":null,"first_page":"113078","last_page":"113078"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9987000226974487,"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":0.9983999729156494,"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":0.7553935647010803},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6797598600387573},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5902227163314819},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5832532048225403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48397135734558105},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.4625169038772583},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42511874437332153},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33518868684768677},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3209131360054016},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10612308979034424},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10398086905479431}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7553935647010803},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6797598600387573},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5902227163314819},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5832532048225403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48397135734558105},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.4625169038772583},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42511874437332153},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33518868684768677},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3209131360054016},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10612308979034424},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10398086905479431},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.asoc.2025.113078","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.asoc.2025.113078","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"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":"Applied Soft Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.asoc.2025.113078","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.asoc.2025.113078","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"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":"Applied Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2146334809","https://openalex.org/W2341528187","https://openalex.org/W2465534249","https://openalex.org/W2599674900","https://openalex.org/W2607303097","https://openalex.org/W2958722525","https://openalex.org/W3101998545","https://openalex.org/W3183859557","https://openalex.org/W3197875592","https://openalex.org/W3201183892","https://openalex.org/W3201738589","https://openalex.org/W3208639589","https://openalex.org/W4214551985","https://openalex.org/W4286370724","https://openalex.org/W4308862140","https://openalex.org/W4311461310","https://openalex.org/W4312933868","https://openalex.org/W4319594527","https://openalex.org/W4321439011","https://openalex.org/W4361199562","https://openalex.org/W4376551210","https://openalex.org/W4380147749","https://openalex.org/W4380986362","https://openalex.org/W4386913496","https://openalex.org/W4388796182","https://openalex.org/W4390372502","https://openalex.org/W4391147305","https://openalex.org/W4391451420","https://openalex.org/W4393086713","https://openalex.org/W4397031582","https://openalex.org/W4399657477","https://openalex.org/W4401432704","https://openalex.org/W4403527909","https://openalex.org/W4403578721","https://openalex.org/W6687152286","https://openalex.org/W6741668545","https://openalex.org/W6750787911","https://openalex.org/W6752229666","https://openalex.org/W6753277404","https://openalex.org/W6755207826","https://openalex.org/W6787645337","https://openalex.org/W6797373143","https://openalex.org/W6861761481","https://openalex.org/W6863168874"],"related_works":["https://openalex.org/W4205899436","https://openalex.org/W2462138927","https://openalex.org/W3111427900","https://openalex.org/W4302009627","https://openalex.org/W4212781403","https://openalex.org/W4388989680","https://openalex.org/W2901011898","https://openalex.org/W3160379098","https://openalex.org/W2373442452","https://openalex.org/W2748609568"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,45,58,64,134],"is":[2,90,199,283,294,315],"the":[3,13,36,50,63,85,102,166,173,178,185,189,209,217,231,262,268,288,325],"foundation":[4],"of":[5,16,52,65,104,111,181,211,270,329],"human\u2013computer":[6],"interaction":[7,140],"and":[8,32,94,121,148,169,183,205,236,239,265,273,300,327],"personalized":[9],"services":[10],".":[11],"With":[12],"rapid":[14],"growth":[15],"online":[17],"social":[18],"platforms,":[19],"people":[20,76],"are":[21],"more":[22],"inclined":[23],"to":[24,69,74,117,151,176,201,229,240,285,317],"express":[25,79],"their":[26],"opinions":[27],"through":[28],"videos":[29],"(text,":[30],"acoustic,":[31],"visual).":[33],"To":[34,126],"analyze":[35,287],"sentiment":[37,44,57,80,133,186,244,293],"tendency":[38],"expressed":[39],"in":[40,81,84,92,153,188,275],"a":[41,161,193,222,310],"video,":[42],"multimodal":[43,56,112,243,253,276],"research":[46],"has":[47],"increasingly":[48],"attracted":[49],"attention":[51,141,197,306],"researchers.":[53],"The":[54,255,280],"existing":[55,263],"methods":[59,264],"mainly":[60],"focus":[61],"on":[62,137,165,216,250],"explicit":[66],"sentiment.":[67,157,290],"However,":[68],"avoid":[70],"triggering":[71],"societal":[72],"sensitivity":[73],"information,":[75],"often":[77],"implicitly":[78],"videos,":[82],"especially":[83],"key":[86],"modal":[87],"text,":[88],"which":[89,115,144],"rich":[91],"semantics":[93],"accuracy.":[95],"Currently,":[96],"very":[97],"few":[98],"studies,":[99],"although":[100],"considering":[101],"existence":[103],"implicit":[105,132,156,289],"emotions,":[106],"only":[107],"perform":[108],"simple":[109],"mapping":[110],"information":[113,119,150,215],",":[114,143],"leads":[116],"insufficient":[118],"extraction":[120],"significant":[122],"influence":[123],"from":[124,233],"noise.":[125],"address":[127],"this,":[128],"we":[129,159,220],"propose":[130],"an":[131],"method":[135],"based":[136,164],"cross-modal":[138,225,237],"feature":[139,319],"network":[142],"leverages":[145],"label,":[146,271,298],"visual,":[147,234,272],"acoustic":[149,274],"assist":[152],"reasoning":[154],"out":[155],"Specifically,":[158],"construct":[160],"prompt":[162],"sentence":[163],"annotated":[167],"label":[168],"fuse":[170],"it":[171],"with":[172,309],"original":[174,190],"text":[175],"alleviate":[177],"deep":[179,226],"implicitness":[180],"text-sentiment":[182],"increase":[184],"cues":[187],"text.":[191],"Meanwhile":[192],"text-based":[194,305],"multi-head":[195],"interactive":[196],"mechanism":[198,228,307],"designed":[200],"learn":[202],"text-related":[203],"auditory":[204],"visual":[206,301],"features.":[207,245,302],"Considering":[208],"impact":[210],"noise":[212,232],"or":[213],"redundant":[214],"model\u2019s":[218],"robustness,":[219],"design":[221],"text-centric":[223],"dual":[224,311],"fusion":[227,313],"weaken":[230],"auditory,":[235],"interactions,":[238],"obtain":[241],"effective":[242],"We":[246],"conduct":[247],"extensive":[248],"experiments":[249],"four":[251],"public":[252],"datasets.":[254],"results":[256,323],"show":[257],"that":[258],"our":[259],"approach":[260],"outperforms":[261],"can":[266],"explain":[267],"contributions":[269],"implicit-sentiment":[277],"analysis.":[278],"\u2022":[279,291,303,321],"model":[281],"ISAFIA":[282],"constructed":[284],"effectively":[286],"Implicit":[292],"predicted":[295],"by":[296],"fusing":[297],"acoustics":[299],"A":[304],"coupled":[308],"cross-attention":[312],"architecture":[314],"proposed":[316],"enhance":[318],"representation.":[320],"Experimental":[322],"demonstrate":[324],"effectiveness":[326],"competitiveness":[328],"ISAFIA.":[330]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}