{"id":"https://openalex.org/W3194346343","doi":"https://doi.org/10.3390/info12090342","title":"Feature Extraction Network with Attention Mechanism for Data Enhancement and Recombination Fusion for Multimodal Sentiment Analysis","display_name":"Feature Extraction Network with Attention Mechanism for Data Enhancement and Recombination Fusion for Multimodal Sentiment Analysis","publication_year":2021,"publication_date":"2021-08-24","ids":{"openalex":"https://openalex.org/W3194346343","doi":"https://doi.org/10.3390/info12090342","mag":"3194346343"},"language":"en","primary_location":{"id":"doi:10.3390/info12090342","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info12090342","pdf_url":"https://www.mdpi.com/2078-2489/12/9/342/pdf?version=1630584648","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/12/9/342/pdf?version=1630584648","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068143829","display_name":"Qingfu Qi","orcid":"https://orcid.org/0000-0002-4637-5196"},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]},{"id":"https://openalex.org/I4210102575","display_name":"TianjinSino-German University of Applied Sciences","ror":"https://ror.org/01243ws42","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingfu Qi","raw_affiliation_strings":["College of Electronic Information and Automation, Tianjin University of Science & Technology, Tianjin 300222, China","School of Software and Communications, Tianjin Sino-German University of Applied Sciences, Tianjin 300222, China"],"raw_orcid":"https://orcid.org/0000-0002-4637-5196","affiliations":[{"raw_affiliation_string":"College of Electronic Information and Automation, Tianjin University of Science & Technology, Tianjin 300222, China","institution_ids":["https://openalex.org/I132369690"]},{"raw_affiliation_string":"School of Software and Communications, Tianjin Sino-German University of Applied Sciences, Tianjin 300222, China","institution_ids":["https://openalex.org/I4210102575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076848615","display_name":"Liyuan Lin","orcid":"https://orcid.org/0000-0003-2028-3346"},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyuan Lin","raw_affiliation_strings":["College of Electronic Information and Automation, Tianjin University of Science & Technology, Tianjin 300222, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Information and Automation, Tianjin University of Science & Technology, Tianjin 300222, China","institution_ids":["https://openalex.org/I132369690"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100422085","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-7875-5193"},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]},{"id":"https://openalex.org/I4210102575","display_name":"TianjinSino-German University of Applied Sciences","ror":"https://ror.org/01243ws42","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["College of Electronic Information and Automation, Tianjin University of Science & Technology, Tianjin 300222, China","School of Software and Communications, Tianjin Sino-German University of Applied Sciences, Tianjin 300222, China"],"raw_orcid":"https://orcid.org/0000-0002-7875-5193","affiliations":[{"raw_affiliation_string":"College of Electronic Information and Automation, Tianjin University of Science & Technology, Tianjin 300222, China","institution_ids":["https://openalex.org/I132369690"]},{"raw_affiliation_string":"School of Software and Communications, Tianjin Sino-German University of Applied Sciences, Tianjin 300222, China","institution_ids":["https://openalex.org/I4210102575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100422085"],"corresponding_institution_ids":["https://openalex.org/I132369690","https://openalex.org/I4210102575"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.679,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87052276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"12","issue":"9","first_page":"342","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9929999709129333,"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":0.9794999957084656,"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/computer-science","display_name":"Computer science","score":0.776587724685669},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.771920919418335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5949293375015259},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5554125905036926},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5329545140266418},{"id":"https://openalex.org/keywords/multimodal-transport","display_name":"Multimodal transport","score":0.45413148403167725},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4504963159561157},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37322017550468445},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.356492817401886},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34501582384109497},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3267529606819153},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08523288369178772}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.776587724685669},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.771920919418335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5949293375015259},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5554125905036926},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5329545140266418},{"id":"https://openalex.org/C2777974031","wikidata":"https://www.wikidata.org/wiki/Q493641","display_name":"Multimodal transport","level":2,"score":0.45413148403167725},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4504963159561157},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37322017550468445},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.356492817401886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34501582384109497},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3267529606819153},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08523288369178772},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info12090342","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info12090342","pdf_url":"https://www.mdpi.com/2078-2489/12/9/342/pdf?version=1630584648","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2c0164905e41480eacbc4ed02ee88bc9","is_oa":true,"landing_page_url":"https://doaj.org/article/2c0164905e41480eacbc4ed02ee88bc9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 12, Iss 9, p 342 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/12/9/342/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/info12090342","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information; Volume 12; Issue 9; Pages: 342","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info12090342","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info12090342","pdf_url":"https://www.mdpi.com/2078-2489/12/9/342/pdf?version=1630584648","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3194346343.pdf","grobid_xml":"https://content.openalex.org/works/W3194346343.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W392180792","https://openalex.org/W1651753422","https://openalex.org/W1934410531","https://openalex.org/W2011442902","https://openalex.org/W2017637319","https://openalex.org/W2064675550","https://openalex.org/W2095176743","https://openalex.org/W2096733369","https://openalex.org/W2145287260","https://openalex.org/W2146077260","https://openalex.org/W2154137718","https://openalex.org/W2157331557","https://openalex.org/W2250539671","https://openalex.org/W2465534249","https://openalex.org/W2512449761","https://openalex.org/W2598207902","https://openalex.org/W2609296554","https://openalex.org/W2740550900","https://openalex.org/W2787293089","https://openalex.org/W2787581402","https://openalex.org/W2874370531","https://openalex.org/W2883409523","https://openalex.org/W2886193235","https://openalex.org/W2901272442","https://openalex.org/W2924126491","https://openalex.org/W2946218857","https://openalex.org/W2949549939","https://openalex.org/W2950635152","https://openalex.org/W2950856799","https://openalex.org/W2962770129","https://openalex.org/W2963032608","https://openalex.org/W2963167310","https://openalex.org/W2963466847","https://openalex.org/W2963702064","https://openalex.org/W2964095005","https://openalex.org/W2964119254","https://openalex.org/W2964216663","https://openalex.org/W2964260444","https://openalex.org/W2964308564","https://openalex.org/W2964326992","https://openalex.org/W2970672108","https://openalex.org/W3045969489","https://openalex.org/W3103807960","https://openalex.org/W3104739527","https://openalex.org/W3124386704","https://openalex.org/W6636942303","https://openalex.org/W6653227610","https://openalex.org/W6767418550"],"related_works":["https://openalex.org/W2887502709","https://openalex.org/W2805501957","https://openalex.org/W2378211422","https://openalex.org/W2085494547","https://openalex.org/W4293160375","https://openalex.org/W2745001401","https://openalex.org/W2526509441","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W3124221720"],"abstract_inverted_index":{"Multimodal":[0,200],"sentiment":[1,52,72,195],"analysis":[2,53,186,196],"and":[3,36,46,106,114,154,166,203,217],"emotion":[4,185],"recognition":[5],"represent":[6],"a":[7,29,64,151,181],"major":[8],"research":[9],"direction":[10],"in":[11,31,92,102],"natural":[12],"language":[13],"processing":[14,157],"(NLP).":[15],"With":[16],"the":[17,32,37,49,61,79,93,103,122,132,139,145,164,173,193,214],"rapid":[18],"development":[19],"of":[20,34,63,67,135,169],"online":[21],"media,":[22],"people":[23],"often":[24],"express":[25],"their":[26],"emotions":[27],"on":[28,192],"topic":[30],"form":[33],"video,":[35],"signals":[38,137,171],"it":[39],"transmits":[40],"are":[41],"multimodal,":[42],"including":[43],"language,":[44],"visual,":[45],"audio.":[47],"Therefore,":[48],"traditional":[50],"unimodal":[51],"method":[54,83,97,126,153,191,212],"is":[55,178],"no":[56],"longer":[57],"applicable,":[58],"which":[59,160],"requires":[60],"establishment":[62],"fusion":[65,183],"model":[66,155,216],"multimodal":[68,86,136,158,170,182,194],"information":[69,101,113,117],"to":[70,131,144,179],"obtain":[71,180],"understanding.":[73],"In":[74,142],"previous":[75],"studies,":[76],"scholars":[77],"used":[78],"feature":[80,184],"vector":[81],"cascade":[82],"when":[84],"fusing":[85],"data":[87],"at":[88],"each":[89,99],"time":[90,140,174],"step":[91],"middle":[94],"layer.":[95],"This":[96],"puts":[98],"modal":[100,112,116],"same":[104,123],"position":[105],"does":[107,127],"not":[108,128],"distinguish":[109],"between":[110],"strong":[111],"weak":[115],"among":[118],"multiple":[119],"modalities.":[120],"At":[121],"time,":[124],"this":[125,148],"pay":[129],"attention":[130],"embedding":[133],"characteristics":[134,168],"across":[138,172],"dimension.":[141,175],"response":[143],"above":[146],"problems,":[147],"paper":[149],"proposes":[150],"new":[152],"for":[156],"signals,":[159],"takes":[161],"into":[162],"account":[163],"delay":[165],"hysteresis":[167],"The":[176],"purpose":[177],"representation.":[187],"We":[188,208],"evaluate":[189],"our":[190,210],"benchmark":[197],"dataset":[198],"CMU":[199],"Opinion":[201],"Sentiment":[202],"Emotion":[204],"Intensity":[205],"Corpus":[206],"(CMU-MOSEI).":[207],"compare":[209],"proposed":[211],"with":[213],"state-of-the-art":[215],"show":[218],"excellent":[219],"results.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
