{"id":"https://openalex.org/W4415708559","doi":"https://doi.org/10.1109/icme59968.2025.11209447","title":"Target-oriented Multimodal Sentiment Classification with Counterfactual-enhanced Debiasing","display_name":"Target-oriented Multimodal Sentiment Classification with Counterfactual-enhanced Debiasing","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708559","doi":"https://doi.org/10.1109/icme59968.2025.11209447"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5010737776","display_name":"Zhiyue Liu","orcid":"https://orcid.org/0000-0001-6432-7836"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyue Liu","raw_affiliation_strings":["Guangxi University,School of Computer, Electronics and Information,Nanning,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi University,School of Computer, Electronics and Information,Nanning,China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101280419","display_name":"Fanrong Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanrong Ma","raw_affiliation_strings":["Guangxi University,School of Computer, Electronics and Information,Nanning,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi University,School of Computer, Electronics and Information,Nanning,China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049040689","display_name":"Ling Xin","orcid":"https://orcid.org/0000-0002-1128-1667"},"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":"Xin Ling","raw_affiliation_strings":["Sun Yat-sen University,School of Sociology and Anthropology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Sociology and Anthropology,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14893631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9732000231742859,"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":0.9732000231742859,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.003100000089034438,"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/T11644","display_name":"Spam and Phishing Detection","score":0.002899999963119626,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/debiasing","display_name":"Debiasing","score":0.983299970626831},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.8995000123977661},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.8698999881744385},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6047999858856201},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.3855000138282776},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3416000008583069}],"concepts":[{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.983299970626831},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.8995000123977661},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.8698999881744385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7828999757766724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6574000120162964},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6047999858856201},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5647000074386597},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.3855000138282776},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34209999442100525},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32030001282691956},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.26669999957084656},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":21,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2891778157","https://openalex.org/W2963168371","https://openalex.org/W2964051877","https://openalex.org/W2966765144","https://openalex.org/W2971296908","https://openalex.org/W3104186312","https://openalex.org/W3177397812","https://openalex.org/W3187172219","https://openalex.org/W4293519263","https://openalex.org/W4385573132","https://openalex.org/W4386076215","https://openalex.org/W4387272133","https://openalex.org/W4388692450","https://openalex.org/W4389519985","https://openalex.org/W4389520049","https://openalex.org/W4393157109","https://openalex.org/W4393157111","https://openalex.org/W4402670771","https://openalex.org/W4402979613","https://openalex.org/W4404783774"],"related_works":[],"abstract_inverted_index":{"Target-oriented":[0],"multimodal":[1],"sentiment":[2,7],"classification":[3,50],"seeks":[4],"to":[5,29,40,62,85,93],"predict":[6],"polarity":[8],"for":[9,96],"specific":[10],"targets":[11],"from":[12,100],"image-text":[13,83],"pairs.":[14],"While":[15],"existing":[16],"works":[17],"achieve":[18],"competitive":[19],"performance,":[20],"they":[21],"often":[22],"over-rely":[23],"on":[24,125],"textual":[25],"content":[26,91],"and":[27,46,103],"fail":[28],"consider":[30],"dataset":[31],"biases,":[32],"in":[33],"particular":[34],"word-level":[35],"contextual":[36],"biases.":[37],"This":[38],"leads":[39],"spurious":[41,65],"correlations":[42],"between":[43],"text":[44],"features":[45,99],"output":[47],"labels,":[48],"impairing":[49],"accuracy.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,107],"introduce":[56,108],"a":[57,70],"novel":[58],"counterfactual-enhanced":[59],"debiasing":[60,111],"framework":[61,68],"reduce":[63],"such":[64],"correlations.":[66],"Our":[67],"incorporates":[69],"counterfactual":[71,101],"data":[72,102],"augmentation":[73],"strategy":[74],"that":[75,130],"minimally":[76],"alters":[77],"sentiment-related":[78],"causal":[79],"features,":[80],"generating":[81],"detail-matched":[82],"samples":[84],"guide":[86],"the":[87,118],"model\u2019s":[88],"attention":[89],"toward":[90],"tied":[92],"sentiment.":[94],"Furthermore,":[95],"learning":[97,113],"robust":[98],"prompting":[104],"model":[105],"decisions,":[106],"an":[109],"adaptive":[110],"contrastive":[112],"mechanism,":[114],"which":[115],"effectively":[116],"mitigates":[117],"influence":[119],"of":[120],"biased":[121],"words.":[122],"Experimental":[123],"results":[124],"several":[126],"benchmark":[127],"datasets":[128],"show":[129],"our":[131],"proposed":[132],"method":[133],"outperforms":[134],"state-of-the-art":[135],"baselines.":[136]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-30T00:00:00"}
