{"id":"https://openalex.org/W2897729462","doi":"https://doi.org/10.1109/ijcnn.2018.8489342","title":"Semi-Supervised Multimodal Deep Learning Model for Polarity Detection in Arguments","display_name":"Semi-Supervised Multimodal Deep Learning Model for Polarity Detection in Arguments","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897729462","doi":"https://doi.org/10.1109/ijcnn.2018.8489342","mag":"2897729462"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","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/A5110580568","display_name":"Tato Ange","orcid":null},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tato Ange","raw_affiliation_strings":["D\u00e9partement Informatique, Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement Informatique, Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I159129438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023748761","display_name":"Roger Nkambou","orcid":"https://orcid.org/0000-0002-8632-6997"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nkambou Roger","raw_affiliation_strings":["D\u00e9partement Informatique, Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement Informatique, Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I159129438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103620921","display_name":"Aude Dufresne","orcid":null},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dufresne Aude","raw_affiliation_strings":["D\u00e9partement de communication, Universit\u00e9 de Montr\u00e9al, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement de communication, Universit\u00e9 de Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060693139","display_name":"Claude Frasson","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111842","display_name":"Computer Research Institute of Montr\u00e9al","ror":"https://ror.org/0279d5115","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210111842"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Frasson Claude","raw_affiliation_strings":["D\u00e9partement d\u2019informatique et de recherche op\u00e9rationnelle, Universit\u00e9 de Montr\u00e9al, Canada","D\u00e9partement d'informatique et de recherche op\u00e9rationnelle, Universit\u00e9 de Montr\u00e9al, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement d\u2019informatique et de recherche op\u00e9rationnelle, Universit\u00e9 de Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I4210111842","https://openalex.org/I70931966"]},{"raw_affiliation_string":"D\u00e9partement d'informatique et de recherche op\u00e9rationnelle, Universit\u00e9 de Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I4210111842","https://openalex.org/I70931966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2264,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.53364275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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/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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9987000226974487,"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":0.8124876618385315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7009835243225098},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6643940210342407},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.633691668510437},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6260201334953308},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.581723153591156},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.5774192810058594},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5549032092094421},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5153829455375671},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4750518798828125},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4559718370437622},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.4448372423648834},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42326223850250244},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41276732087135315},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3745335340499878},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3603855073451996},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3444998562335968}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8124876618385315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7009835243225098},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6643940210342407},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.633691668510437},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6260201334953308},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.581723153591156},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.5774192810058594},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5549032092094421},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5153829455375671},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4750518798828125},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4559718370437622},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.4448372423648834},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42326223850250244},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41276732087135315},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3745335340499878},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3603855073451996},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3444998562335968},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:espace2.etsmtl.ca:27307","is_oa":false,"landing_page_url":"https://espace2.etsmtl.ca/id/eprint/27307/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Compte rendu de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1600744878","https://openalex.org/W1775434803","https://openalex.org/W1832693441","https://openalex.org/W1836465849","https://openalex.org/W1964155876","https://openalex.org/W1967981232","https://openalex.org/W1972119323","https://openalex.org/W1995866178","https://openalex.org/W2071954570","https://openalex.org/W2078381966","https://openalex.org/W2095705004","https://openalex.org/W2107878631","https://openalex.org/W2114079787","https://openalex.org/W2116435618","https://openalex.org/W2123260696","https://openalex.org/W2143612262","https://openalex.org/W2162262658","https://openalex.org/W2163605009","https://openalex.org/W2164587673","https://openalex.org/W2168053878","https://openalex.org/W2171804848","https://openalex.org/W2184188583","https://openalex.org/W2250879510","https://openalex.org/W2337562570","https://openalex.org/W2512971201","https://openalex.org/W2681250909","https://openalex.org/W2729101176","https://openalex.org/W2805573979","https://openalex.org/W2963083845","https://openalex.org/W2963921497","https://openalex.org/W6606244218","https://openalex.org/W6637845829","https://openalex.org/W6638667902","https://openalex.org/W6638834111","https://openalex.org/W6643344480","https://openalex.org/W6674330103","https://openalex.org/W6677326919","https://openalex.org/W6684191040","https://openalex.org/W6686207219","https://openalex.org/W6751930677","https://openalex.org/W7009770569"],"related_works":["https://openalex.org/W1984947604","https://openalex.org/W2952512863","https://openalex.org/W3134504629","https://openalex.org/W2938696877","https://openalex.org/W4323911413","https://openalex.org/W1982536061","https://openalex.org/W4210631502","https://openalex.org/W4286796787","https://openalex.org/W2952582877","https://openalex.org/W4361192893"],"abstract_inverted_index":{"Deep":[0,174],"learning":[1,133],"has":[2,26,188],"been":[3,189],"successfully":[4],"applied":[5],"to":[6,78,85,110,137,179,199,204],"many":[7],"tasks":[8],"such":[9,69,89],"as":[10,70,90],"image":[11],"classification,":[12],"feature":[13,77],"learning,":[14],"Text":[15],"classification":[16,154],"(sentiments":[17],"analysis":[18],"or":[19],"opinion":[20,213],"mining)":[21],"etc.":[22],"However,":[23],"little":[24],"research":[25],"focused":[27],"on":[28,191],"extracting":[29],"polarity":[30,92,231],"of":[31,51,59,93,104,114,131,143,159,162,183,212,230,232],"sentiments":[32,94],"expressed":[33,95],"in":[34,46,66,80,152,177,227],"text":[35,153],"using":[36],"a":[37,60,105,123,139,144,163,192,208],"multimodal":[38,49,126,194,224],"architecture.":[39],"In":[40],"other":[41],"words,":[42],"no":[43],"researches":[44],"take":[45,79],"consideration":[47,81],"the":[48,91,97,160,181,219,228],"nature":[50],"human":[52],"behaviors":[53],"before":[54],"classifying":[55],"sentiments.":[56],"The":[57,156,185,215],"representation":[58,103,142,149,221],"person":[61],"(also":[62],"call":[63],"User":[64],"Modeling":[65],"some":[67],"domains":[68],"Intelligent":[71],"Tutoring":[72],"Systems)":[73],"is":[74,108,197],"an":[75,101],"important":[76,109],"if":[82],"one":[83],"wants":[84],"extract":[86,138],"subjective":[87],"information":[88],"by":[96],"person.":[98],"To":[99],"design":[100],"effective":[102],"user,":[106],"it":[107],"consider":[111],"all":[112],"sources":[113],"data":[115,136,225],"informing":[116],"about":[117],"its":[118],"current":[119],"state.":[120],"We":[121],"present":[122],"usersensitive":[124],"deep":[125,132],"architecture":[127,157],"which":[128],"takes":[129],"advantage":[130],"and":[134,172,196],"user":[135],"rich":[140,147],"latent":[141,148,220],"user.":[145],"This":[146],"mainly":[150],"helps":[151,226],"tasks.":[155],"consists":[158],"combination":[161],"Long":[164],"Short-Term":[165],"Memory":[166],"(LSTM),":[167],"LSTM-Auto-Encoder,":[168],"Convolutional":[169],"Neural":[170,175],"Networks":[171],"multiple":[173],"Networks,":[176],"order":[178],"support":[180],"multimodality":[182],"data.":[184],"resulting":[186],"model":[187],"tested":[190],"public":[193],"dataset":[195],"able":[198],"achieve":[200],"best":[201],"results":[202,216],"compared":[203],"state-of-the-art":[205],"algorithms":[206],"for":[207],"similar":[209],"task:":[210],"detection":[211],"polarity.":[214],"suggest":[217],"that":[218],"learnt":[222],"from":[223],"discrimination":[229],"opinion.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
