{"id":"https://openalex.org/W2982104868","doi":"https://doi.org/10.1145/3343031.3350987","title":"Effective Sentiment-relevant Word Selection for Multi-modal Sentiment Analysis in Spoken Language","display_name":"Effective Sentiment-relevant Word Selection for Multi-modal Sentiment Analysis in Spoken Language","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2982104868","doi":"https://doi.org/10.1145/3343031.3350987","mag":"2982104868"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3350987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","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/A5115603674","display_name":"Dong Zhang","orcid":"https://orcid.org/0000-0002-8948-2856"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhang","raw_affiliation_strings":["Soochow University, Suzhou, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003885809","display_name":"Shoushan Li","orcid":"https://orcid.org/0000-0002-1000-3278"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shoushan Li","raw_affiliation_strings":["Soochow University, Suzhou, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102065469","display_name":"Qiaoming Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaoming Zhu","raw_affiliation_strings":["Soochow University, Suzhou, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012794465","display_name":"Guodong Zhou","orcid":"https://orcid.org/0000-0002-7887-5099"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Zhou","raw_affiliation_strings":["Soochow University, Suzhou, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"148","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9898999929428101,"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/T10028","display_name":"Topic Modeling","score":0.9889000058174133,"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":0.8653138279914856},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8065174221992493},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6688607931137085},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6345258355140686},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6340566277503967},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.6217649579048157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.605444610118866},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5618492364883423},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5560306906700134},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5503643155097961},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5195322632789612},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5176234841346741},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4388960599899292},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4252142906188965},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3551216125488281},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1579916775226593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8653138279914856},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8065174221992493},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6688607931137085},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6345258355140686},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6340566277503967},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.6217649579048157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.605444610118866},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5618492364883423},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5560306906700134},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5503643155097961},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5195322632789612},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5176234841346741},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4388960599899292},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4252142906188965},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3551216125488281},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1579916775226593},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3350987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327518","display_name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1534131679","https://openalex.org/W1542941925","https://openalex.org/W2029996593","https://openalex.org/W2061068689","https://openalex.org/W2075398069","https://openalex.org/W2095176743","https://openalex.org/W2099618002","https://openalex.org/W2107544712","https://openalex.org/W2109020278","https://openalex.org/W2119717200","https://openalex.org/W2123442489","https://openalex.org/W2155027007","https://openalex.org/W2250473257","https://openalex.org/W2397375888","https://openalex.org/W2625297138","https://openalex.org/W2703895418","https://openalex.org/W2739862888","https://openalex.org/W2766306366","https://openalex.org/W2767249564","https://openalex.org/W2772633765","https://openalex.org/W2798802604","https://openalex.org/W2887128979","https://openalex.org/W2896463661","https://openalex.org/W2952622013","https://openalex.org/W2962676343","https://openalex.org/W2964266095","https://openalex.org/W4214717370"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W203959209","https://openalex.org/W2110287964","https://openalex.org/W2167701463","https://openalex.org/W4307407935"],"abstract_inverted_index":{"Computational":[0],"modeling":[1],"of":[2,26,85,170,185],"human":[3,32],"spoken":[4,33,136],"language":[5,34,137],"is":[6,24],"an":[7],"emerging":[8],"research":[9],"area":[10],"in":[11,31,135,149],"multimedia":[12],"analysis":[13,23,52],"spanning":[14],"across":[15],"the":[16,27,57,63,96,102,115,130,144,182],"text":[17,98],"and":[18,59,80,99,105,117,132,159,174],"acoustic":[19,60,118,133],"modalities.":[20,61],"Multi-modal":[21],"sentiment":[22,51,90,172],"one":[25],"most":[28],"fundamental":[29],"tasks":[30],"understanding.":[35],"In":[36],"this":[37,140],"paper,":[38],"we":[39,68,93,122,142],"propose":[40],"a":[41,70,150,154,163],"novel":[42],"approach":[43,187],"to":[44,75,113,127],"selecting":[45],"effective":[46],"sentiment-relevant":[47,77,145],"words":[48,84],"for":[49,88,110],"multi-modal":[50,89,151,171],"with":[53,129,162],"focus":[54],"on":[55,177],"both":[56],"textual":[58,116,131],"Unlike":[62],"conventional":[64,190],"soft":[65],"attention":[66],"mechanism,":[67],"employ":[69],"deep":[71],"reinforcement":[72,165],"learning":[73,166],"mechanism":[74],"perform":[76],"word":[78,103,119,146],"selection":[79,147],"fully":[81],"remove":[82],"invalid":[83],"each":[86,111],"modality":[87,112],"analysis.":[91],"Specifically,":[92],"first":[94],"align":[95],"raw":[97],"audio":[100],"at":[101],"level":[104],"extract":[106],"independent":[107],"handcraft":[108],"features":[109],"yield":[114],"sequence.":[120],"Second,":[121],"establish":[123],"two":[124],"collaborative":[125],"agents":[126],"deal":[128],"modalities":[134],"respectively.":[138],"On":[139],"basis,":[141],"formulate":[143],"process":[148],"setting":[152],"as":[153],"multi-agent":[155,164],"sequential":[156],"decision":[157],"problem":[158],"solve":[160],"it":[161],"approach.":[167],"Detailed":[168],"evaluations":[169],"classification":[173],"emotion":[175],"recognition":[176],"three":[178],"benchmark":[179],"datasets":[180],"demonstrate":[181],"great":[183],"effectiveness":[184],"our":[186],"over":[188],"several":[189],"competitive":[191],"baselines.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}