{"id":"https://openalex.org/W4225311822","doi":"https://doi.org/10.1109/icassp43922.2022.9747646","title":"Multimodal Sentiment Analysis on Unaligned Sequences Via Holographic Embedding","display_name":"Multimodal Sentiment Analysis on Unaligned Sequences Via Holographic Embedding","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225311822","doi":"https://doi.org/10.1109/icassp43922.2022.9747646"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747646","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101568886","display_name":"Yukun Ma","orcid":"https://orcid.org/0000-0002-4419-4287"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yukun Ma","raw_affiliation_strings":["Alibaba Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080757156","display_name":"Bin Ma","orcid":"https://orcid.org/0000-0001-8371-0590"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Ma","raw_affiliation_strings":["Alibaba Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210095624"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9926000237464905,"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":0.7107667326927185},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6426582932472229},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5955233573913574},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5786569714546204},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.57569819688797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5545482039451599},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4972098171710968},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4813552498817444},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4438695013523102},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4425089955329895},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4396045207977295},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4118284285068512},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32381176948547363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10362386703491211}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107667326927185},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6426582932472229},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5955233573913574},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5786569714546204},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.57569819688797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5545482039451599},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4972098171710968},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4813552498817444},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4438695013523102},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4425089955329895},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4396045207977295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4118284285068512},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32381176948547363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10362386703491211},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747646","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1503933356","https://openalex.org/W2119216348","https://openalex.org/W2157306293","https://openalex.org/W2265796482","https://openalex.org/W2465534249","https://openalex.org/W2546919788","https://openalex.org/W2583643061","https://openalex.org/W2584561145","https://openalex.org/W2787581402","https://openalex.org/W2808359495","https://openalex.org/W2883409523","https://openalex.org/W2904108345","https://openalex.org/W2949972983","https://openalex.org/W2962866381","https://openalex.org/W2962931510","https://openalex.org/W2963871344","https://openalex.org/W2964010806","https://openalex.org/W2964051877","https://openalex.org/W2964216663","https://openalex.org/W2964260444","https://openalex.org/W2964346351","https://openalex.org/W2989763126","https://openalex.org/W3094498998","https://openalex.org/W3095379519","https://openalex.org/W6629976795","https://openalex.org/W6677940039","https://openalex.org/W6693593672","https://openalex.org/W6719667659","https://openalex.org/W6752724743","https://openalex.org/W6753277404","https://openalex.org/W6770046989","https://openalex.org/W6785029896"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W4294075501","https://openalex.org/W4293071540","https://openalex.org/W3015597294","https://openalex.org/W2901590103","https://openalex.org/W3021094884","https://openalex.org/W3027466640","https://openalex.org/W4312833533","https://openalex.org/W2951890666","https://openalex.org/W2251381233"],"abstract_inverted_index":{"Multimodal":[0],"sentiment":[1,83],"analysis":[2,84],"is":[3,20,57],"built":[4],"on":[5,34,52,80],"fusion":[6,18,69],"of":[7,16,61],"inputs":[8],"from":[9],"multiple":[10,35,71],"modalities.":[11],"However,":[12],"at":[13],"the":[14,21,41,62],"core":[15],"existing":[17],"method":[19,50],"dot":[22],"product":[23,64],"between":[24],"a":[25,29,49,58],"key":[26],"vector":[27,31],"and":[28,32],"query":[30],"relies":[33],"neural":[36],"network":[37],"layers":[38],"to":[39,65],"model":[40,66],"high-order":[42],"correlation.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"present":[48],"based":[51],"holographic":[53],"reduced":[54],"representation":[55],"which":[56],"compressed":[59],"version":[60],"outer":[63],"facilitate":[67],"higher-order":[68],"across":[70],"modality.":[72],"Experiment":[73],"shows":[74],"that":[75],"our":[76],"proposal":[77],"performs":[78],"promisingly":[79],"benchmark":[81],"multimodal":[82],"data":[85],"sets":[86],"with":[87],"improved":[88],"efficiency.":[89]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}