{"id":"https://openalex.org/W2092415370","doi":"https://doi.org/10.1145/2749459","title":"Latent Discriminative Models for Social Emotion Detection with Emotional Dependency","display_name":"Latent Discriminative Models for Social Emotion Detection with Emotional Dependency","publication_year":2015,"publication_date":"2015-07-28","ids":{"openalex":"https://openalex.org/W2092415370","doi":"https://doi.org/10.1145/2749459","mag":"2092415370"},"language":"en","primary_location":{"id":"doi:10.1145/2749459","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2749459","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5040062188","display_name":"Xiaojun Quan","orcid":"https://orcid.org/0000-0002-8385-1083"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Xiaojun Quan","raw_affiliation_strings":["Institute for Infocomm Research, A*STAR, Singapore","Institute for Infocomm Research, A-star, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, A*STAR, Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Institute for Infocomm Research, A-star, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055007304","display_name":"Qifan Wang","orcid":"https://orcid.org/0000-0002-5304-7975"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qifan Wang","raw_affiliation_strings":["Purdue University, West Lafayette, IN"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386273","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0003-4906-5828"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["Nankai University, Tianjin, China","Nankai University, Tianjin, China)"],"affiliations":[{"raw_affiliation_string":"Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Nankai University, Tianjin, China)","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101718341","display_name":"Luo Si","orcid":"https://orcid.org/0000-0002-3263-234X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luo Si","raw_affiliation_strings":["Purdue University, West Lafayette, IN"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liu Wenyin","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Liu Wenyin","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040062188"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":6.2319,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.96448338,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"34","issue":"1","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9984999895095825,"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":0.9976999759674072,"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/discriminative-model","display_name":"Discriminative model","score":0.9059168100357056},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.8090920448303223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6840426921844482},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5803852677345276},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5540868639945984},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.540856122970581},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5018634796142578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4925123155117035},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.47006282210350037},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4018024206161499},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.36610114574432373},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34249788522720337},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3148401975631714}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9059168100357056},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.8090920448303223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6840426921844482},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5803852677345276},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5540868639945984},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.540856122970581},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5018634796142578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4925123155117035},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.47006282210350037},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4018024206161499},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.36610114574432373},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34249788522720337},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3148401975631714},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2749459","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2749459","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320322170","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1493379323","https://openalex.org/W1506806321","https://openalex.org/W1550206324","https://openalex.org/W1581485226","https://openalex.org/W1590495275","https://openalex.org/W1599391609","https://openalex.org/W1663973292","https://openalex.org/W1880262756","https://openalex.org/W1924133215","https://openalex.org/W1966797434","https://openalex.org/W1977309386","https://openalex.org/W1983381518","https://openalex.org/W1988323515","https://openalex.org/W2001082470","https://openalex.org/W2004915807","https://openalex.org/W2005311637","https://openalex.org/W2016945820","https://openalex.org/W2017238344","https://openalex.org/W2028904519","https://openalex.org/W2032585622","https://openalex.org/W2036516910","https://openalex.org/W2039157612","https://openalex.org/W2045631398","https://openalex.org/W2049633694","https://openalex.org/W2051167956","https://openalex.org/W2056002855","https://openalex.org/W2062877045","https://openalex.org/W2079521622","https://openalex.org/W2088622183","https://openalex.org/W2105468141","https://openalex.org/W2110278938","https://openalex.org/W2112076978","https://openalex.org/W2112744748","https://openalex.org/W2113952909","https://openalex.org/W2118585731","https://openalex.org/W2123160630","https://openalex.org/W2123207935","https://openalex.org/W2131988669","https://openalex.org/W2137409775","https://openalex.org/W2152119282","https://openalex.org/W2153635508","https://openalex.org/W2154611638","https://openalex.org/W2155328222","https://openalex.org/W2156909104","https://openalex.org/W2160660844","https://openalex.org/W2165008816","https://openalex.org/W2166048859","https://openalex.org/W2166706824","https://openalex.org/W2168493061","https://openalex.org/W2171468534","https://openalex.org/W2755890651","https://openalex.org/W2886362482","https://openalex.org/W3001645704","https://openalex.org/W3122687407","https://openalex.org/W3123091093","https://openalex.org/W3125653597","https://openalex.org/W3129711340","https://openalex.org/W3146306708","https://openalex.org/W4235505822","https://openalex.org/W4236706032"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1],"of":[2,18,28,38,46,54,86,126,130,142,165,172,180],"such":[3,59],"opinionated":[4],"online":[5,57],"texts":[6],"as":[7,60],"reviews":[8],"and":[9,100,123,182],"comments":[10],"has":[11],"received":[12],"increasingly":[13],"close":[14],"attention,":[15],"yet":[16],"most":[17],"the":[19,26,39,44,51,83,105,124,137,159,178],"work":[20],"is":[21,48,69,128],"intended":[22],"to":[23,49,81,134,150],"deal":[24],"with":[25,120],"detection":[27,42],"authors\u2019":[29],"emotion.":[30],"In":[31],"contrast,":[32],"this":[33,72,143],"article":[34],"presents":[35],"our":[36],"study":[37],"social":[40,113,185],"emotion":[41,186],"problem,":[43],"objective":[45],"which":[47],"identify":[50],"evoked":[52],"emotions":[53,99,114],"readers":[55],"by":[56,76],"documents":[58],"news":[61,173],"articles.":[62,174],"A":[63],"novel":[64],"Latent":[65],"Discriminative":[66],"Model":[67],"(LDM)":[68],"proposed":[70,160],"for":[71],"task.":[73],"LDM":[74,135,147,155,181],"works":[75],"introducing":[77],"intermediate":[78],"hidden":[79],"variables":[80],"model":[82],"latent":[84,101],"structure":[85],"input":[87],"text":[88,107],"corpora.":[89],"To":[90],"achieve":[91],"this,":[92],"it":[93],"defines":[94],"a":[95,151,163],"joint":[96],"distribution":[97],"over":[98],"variables,":[102],"conditioned":[103],"on":[104,168],"observed":[106],"documents.":[108],"Moreover,":[109],"we":[110],"assume":[111],"that":[112],"are":[115],"not":[116],"independent":[117],"but":[118],"correlated":[119],"one":[121],"another,":[122],"dependency":[125,145],"them":[127],"capable":[129],"providing":[131],"additional":[132],"guidance":[133],"in":[136,184],"training":[138],"process.":[139],"The":[140],"inclusion":[141],"emotional":[144],"into":[146],"gives":[148],"rise":[149],"new":[152],"Emotional":[153],"Dependency-based":[154],"(eLDM).":[156],"We":[157],"evaluate":[158],"models":[161],"through":[162],"series":[164],"empirical":[166],"evaluations":[167],"two":[169],"real-world":[170],"corpora":[171],"Experimental":[175],"results":[176],"verify":[177],"effectiveness":[179],"eLDM":[183],"detection.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":9},{"year":2016,"cited_by_count":5}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}