{"id":"https://openalex.org/W3010235592","doi":"https://doi.org/10.1145/3374587.3374606","title":"An Improved Model of Multi-attention LSTM for Multimodal Sentiment Analysis","display_name":"An Improved Model of Multi-attention LSTM for Multimodal Sentiment Analysis","publication_year":2019,"publication_date":"2019-12-06","ids":{"openalex":"https://openalex.org/W3010235592","doi":"https://doi.org/10.1145/3374587.3374606","mag":"3010235592"},"language":"en","primary_location":{"id":"doi:10.1145/3374587.3374606","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374587.3374606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence","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/A5043482575","display_name":"Anna Wang","orcid":"https://orcid.org/0000-0001-9905-767X"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anna Wang","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103157833","display_name":"Baoshan Sun","orcid":"https://orcid.org/0000-0003-2193-3232"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoshan Sun","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022686531","display_name":"Rize Jin","orcid":"https://orcid.org/0000-0001-5537-0744"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rize Jin","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043482575"],"corresponding_institution_ids":["https://openalex.org/I198091727"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56862181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"144","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9984999895095825,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9969000220298767,"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":0.8172633647918701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7680211067199707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.60444176197052},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4843062460422516},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33939430117607117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3252027928829193}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8172633647918701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7680211067199707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.60444176197052},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4843062460422516},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33939430117607117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3252027928829193}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3374587.3374606","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374587.3374606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1679826675","https://openalex.org/W1832693441","https://openalex.org/W1983364832","https://openalex.org/W2012372415","https://openalex.org/W2085662862","https://openalex.org/W2251394420","https://openalex.org/W2556418146","https://openalex.org/W2584561145","https://openalex.org/W2740550900","https://openalex.org/W2883409523","https://openalex.org/W2950577311","https://openalex.org/W2962718314","https://openalex.org/W2963710346","https://openalex.org/W2964010806","https://openalex.org/W4230872509","https://openalex.org/W6600258949","https://openalex.org/W6685518012"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Multimodal":[0],"sentiment":[1,105],"analysis":[2,106],"is":[3,23,26],"the":[4,27,34,68,72,77,116,127,131],"task":[5],"of":[6,36,65],"detecting":[7],"emotions":[8,51],"in":[9,33,67,86],"videos":[10],"using":[11],"multimodal":[12,83],"information":[13,64,84],"such":[14],"as":[15],"text,":[16],"visual":[17],"and":[18,81,95,109],"audio.":[19],"One":[20],"difficulty":[21],"that":[22],"often":[24],"faced":[25],"complexity":[28],"associated":[29],"with":[30],"different":[31],"modes":[32],"fusion":[35,47,85],"feature":[37],"layers.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,75],"present":[43],"a":[44],"novel":[45],"feature-level":[46],"method":[48],"for":[49,130],"analyzing":[50],"called":[52],"Multi-attention":[53],"LSTM":[54,60],"(MALM).":[55],"The":[56],"proposed":[57,100,113],"approach":[58,101],"uses":[59],"to":[61,88,111],"capture":[62],"context":[63],"contexts":[66],"same":[69,73,117],"video.":[70],"At":[71],"time,":[74],"use":[76],"attention":[78,90],"mechanism":[79],"before":[80],"after":[82],"order":[87],"focus":[89],"on":[91,102,115],"relatively":[92],"important":[93],"sequences":[94],"modalities.":[96],"We":[97],"evaluate":[98],"our":[99],"two":[103],"multi-modal":[104],"benchmark":[107,132],"datasets":[108],"compare":[110],"various":[112],"approaches":[114],"datasets.":[118,133],"Evaluation":[119],"results":[120],"show":[121],"approximately":[122],"5-10%":[123],"performance":[124],"improvement":[125],"over":[126],"state-of-the-art":[128],"models":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
