{"id":"https://openalex.org/W7156642631","doi":"https://doi.org/10.1007/s10044-026-01676-1","title":"Text-enhanced cross-modal reinforced fusion network for multimodal sentiment analysis","display_name":"Text-enhanced cross-modal reinforced fusion network for multimodal sentiment analysis","publication_year":2026,"publication_date":"2026-04-28","ids":{"openalex":"https://openalex.org/W7156642631","doi":"https://doi.org/10.1007/s10044-026-01676-1"},"language":"en","primary_location":{"id":"doi:10.1007/s10044-026-01676-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10044-026-01676-1","pdf_url":null,"source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","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/A5134802562","display_name":"Wantong Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wantong Zhao","raw_affiliation_strings":["School of Software, Liaoning Technical University, Huludao, 125105, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Liaoning Technical University, Huludao, 125105, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134752709","display_name":"Yongqing Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongqing Wu","raw_affiliation_strings":["School of Software, Liaoning Technical University, Huludao, 125105, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Liaoning Technical University, Huludao, 125105, China","institution_ids":["https://openalex.org/I176808543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5134752709"],"corresponding_institution_ids":["https://openalex.org/I176808543"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.95359122,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.755299985408783,"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":0.755299985408783,"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":0.16859999299049377,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.006000000052154064,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/encoder","display_name":"Encoder","score":0.659600019454956},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5782999992370605},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.5385000109672546},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41609999537467957},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.3617999851703644},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.33899998664855957},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.328900009393692},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3239000141620636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8287000060081482},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.659600019454956},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5782999992370605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5637000203132629},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.5385000109672546},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41260001063346863},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3142000138759613},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.30869999527931213},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10044-026-01676-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10044-026-01676-1","pdf_url":null,"source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5853466987609863,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1899212804","display_name":null,"funder_award_id":"52174184","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W2465534249","https://openalex.org/W2585083125","https://openalex.org/W2598320237","https://openalex.org/W2788192390","https://openalex.org/W2798754355","https://openalex.org/W2949391930","https://openalex.org/W2963128932","https://openalex.org/W2963341956","https://openalex.org/W2963508788","https://openalex.org/W2964051877","https://openalex.org/W2964216663","https://openalex.org/W2964346351","https://openalex.org/W2965373594","https://openalex.org/W2969876226","https://openalex.org/W2988217457","https://openalex.org/W3023211159","https://openalex.org/W3034337319","https://openalex.org/W3037572520","https://openalex.org/W3093051361","https://openalex.org/W3094502228","https://openalex.org/W3127541398","https://openalex.org/W3131368289","https://openalex.org/W3177713506","https://openalex.org/W4220965082","https://openalex.org/W4294969169","https://openalex.org/W4303438998","https://openalex.org/W4382134259","https://openalex.org/W4384341448","https://openalex.org/W4385570945","https://openalex.org/W4389520025","https://openalex.org/W4389524528","https://openalex.org/W4390430684","https://openalex.org/W4391680357","https://openalex.org/W4396663216","https://openalex.org/W4399060638","https://openalex.org/W4400624500","https://openalex.org/W4400764307","https://openalex.org/W4402713102","https://openalex.org/W4402906604","https://openalex.org/W4403791023","https://openalex.org/W4403791261","https://openalex.org/W4403916192","https://openalex.org/W4404348851","https://openalex.org/W4404782920","https://openalex.org/W4404783203","https://openalex.org/W4405072147","https://openalex.org/W4406559819","https://openalex.org/W4407354906","https://openalex.org/W4409202140","https://openalex.org/W4409346675","https://openalex.org/W4411691756","https://openalex.org/W4412886823","https://openalex.org/W7125233009"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-30T06:05:26.967640","created_date":"2026-04-29T00:00:00"}