{"id":"https://openalex.org/W4404145938","doi":"https://doi.org/10.1007/s10462-024-11010-y","title":"Deep emotion recognition in textual conversations: a survey","display_name":"Deep emotion recognition in textual conversations: a survey","publication_year":2024,"publication_date":"2024-11-07","ids":{"openalex":"https://openalex.org/W4404145938","doi":"https://doi.org/10.1007/s10462-024-11010-y"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-024-11010-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-024-11010-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-11010-y.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-11010-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103254263","display_name":"Patr\u00edcia Pereira","orcid":"https://orcid.org/0000-0002-9653-7181"},"institutions":[{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]},{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I203847022","display_name":"Instituto Polit\u00e9cnico de Lisboa","ror":"https://ror.org/04ea70f07","country_code":"PT","type":"education","lineage":["https://openalex.org/I203847022"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Patr\u00edcia Pereira","raw_affiliation_strings":["INESC-ID, Lisbon, Portugal","Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INESC-ID, Lisbon, Portugal","institution_ids":["https://openalex.org/I121345201"]},{"raw_affiliation_string":"Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I141596103","https://openalex.org/I203847022"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045429958","display_name":"Helena Moniz","orcid":"https://orcid.org/0000-0003-0900-6938"},"institutions":[{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]},{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Helena Moniz","raw_affiliation_strings":["Faculdade de Letras, Universidade de Lisboa, Lisbon, Portugal","INESC-ID, Lisbon, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculdade de Letras, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I141596103"]},{"raw_affiliation_string":"INESC-ID, Lisbon, Portugal","institution_ids":["https://openalex.org/I121345201"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029618080","display_name":"Jo\u00e3o Paulo Carvalho","orcid":"https://orcid.org/0000-0003-0005-8299"},"institutions":[{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]},{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I203847022","display_name":"Instituto Polit\u00e9cnico de Lisboa","ror":"https://ror.org/04ea70f07","country_code":"PT","type":"education","lineage":["https://openalex.org/I203847022"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joao Paulo Carvalho","raw_affiliation_strings":["INESC-ID, Lisbon, Portugal","Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INESC-ID, Lisbon, Portugal","institution_ids":["https://openalex.org/I121345201"]},{"raw_affiliation_string":"Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I141596103","https://openalex.org/I203847022"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103254263"],"corresponding_institution_ids":["https://openalex.org/I121345201","https://openalex.org/I141596103","https://openalex.org/I203847022"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":6.4831,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97123513,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"58","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9991999864578247,"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":0.9901000261306763,"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":0.7067985534667969},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.537317156791687},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4613649249076843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40864086151123047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7067985534667969},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.537317156791687},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4613649249076843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40864086151123047}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10462-024-11010-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-024-11010-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-11010-y.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10462-024-11010-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-024-11010-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-11010-y.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8100000023841858,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2441341484","display_name":"Instituto de Engenharia de Sistemas e Computadores, Investiga\u00e7\u00e3o e Desenvolvimento em Lisboa","funder_award_id":"UIDB/50021/2020","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G3001897475","display_name":null,"funder_award_id":"UIDB/50021/2020, DOI: 10.54499/UIDB/50021/2020","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G3019180854","display_name":null,"funder_award_id":"DOI: 10.54499/UIDB/50021/2020","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404145938.pdf","grobid_xml":"https://content.openalex.org/works/W4404145938.grobid-xml"},"referenced_works_count":120,"referenced_works":["https://openalex.org/W607412503","https://openalex.org/W1498436455","https://openalex.org/W1528012351","https://openalex.org/W1679826675","https://openalex.org/W1973270182","https://openalex.org/W1975879668","https://openalex.org/W1999331356","https://openalex.org/W2011722134","https://openalex.org/W2024289965","https://openalex.org/W2045528981","https://openalex.org/W2064675550","https://openalex.org/W2087946919","https://openalex.org/W2124737236","https://openalex.org/W2132555391","https://openalex.org/W2146334809","https://openalex.org/W2148143831","https://openalex.org/W2148146486","https://openalex.org/W2149628368","https://openalex.org/W2149940198","https://openalex.org/W2150355110","https://openalex.org/W2152345807","https://openalex.org/W2157331557","https://openalex.org/W2250539671","https://openalex.org/W2566531585","https://openalex.org/W2740550900","https://openalex.org/W2805662932","https://openalex.org/W2891359673","https://openalex.org/W2907492528","https://openalex.org/W2950339735","https://openalex.org/W2962739339","https://openalex.org/W2963686995","https://openalex.org/W2963873807","https://openalex.org/W2964110616","https://openalex.org/W2964300796","https://openalex.org/W2970431814","https://openalex.org/W2970726176","https://openalex.org/W2985882473","https://openalex.org/W2996350645","https://openalex.org/W2996849360","https://openalex.org/W3033773470","https://openalex.org/W3034323190","https://openalex.org/W3034942609","https://openalex.org/W3035020961","https://openalex.org/W3038471032","https://openalex.org/W3039905287","https://openalex.org/W3098042509","https://openalex.org/W3098556456","https://openalex.org/W3099056802","https://openalex.org/W3103181422","https://openalex.org/W3115382905","https://openalex.org/W3116016199","https://openalex.org/W3116679303","https://openalex.org/W3117369308","https://openalex.org/W3152893301","https://openalex.org/W3156636935","https://openalex.org/W3169183224","https://openalex.org/W3173396651","https://openalex.org/W3173751215","https://openalex.org/W3174683006","https://openalex.org/W3175552668","https://openalex.org/W3176399185","https://openalex.org/W3176849538","https://openalex.org/W3187966659","https://openalex.org/W3196292458","https://openalex.org/W3199412388","https://openalex.org/W3201284223","https://openalex.org/W3211488063","https://openalex.org/W4200444669","https://openalex.org/W4200536610","https://openalex.org/W4206174637","https://openalex.org/W4221147459","https://openalex.org/W4226025958","https://openalex.org/W4226239215","https://openalex.org/W4235805942","https://openalex.org/W4294214983","https://openalex.org/W4312706447","https://openalex.org/W4313140988","https://openalex.org/W4319459137","https://openalex.org/W4360930863","https://openalex.org/W4372184069","https://openalex.org/W4372346643","https://openalex.org/W4375868946","https://openalex.org/W4375929046","https://openalex.org/W4378194758","https://openalex.org/W4385570482","https://openalex.org/W4385570630","https://openalex.org/W4385570654","https://openalex.org/W4385573172","https://openalex.org/W4385734219","https://openalex.org/W4386566713","https://openalex.org/W4387789779","https://openalex.org/W4388517798","https://openalex.org/W4388823265","https://openalex.org/W4389518702","https://openalex.org/W4389519903","https://openalex.org/W4389520025","https://openalex.org/W4389520325","https://openalex.org/W4389523804","https://openalex.org/W4389524202","https://openalex.org/W4389664932","https://openalex.org/W4390480791","https://openalex.org/W4391156274","https://openalex.org/W4391407004","https://openalex.org/W4391454424","https://openalex.org/W4392902826","https://openalex.org/W4392903920","https://openalex.org/W4392904331","https://openalex.org/W4392904377","https://openalex.org/W4394862741","https://openalex.org/W4399146389","https://openalex.org/W4401043060","https://openalex.org/W4401043218","https://openalex.org/W4402159674","https://openalex.org/W4404752347","https://openalex.org/W4404781181","https://openalex.org/W4404781709","https://openalex.org/W4404782242","https://openalex.org/W6600195515","https://openalex.org/W6600424091","https://openalex.org/W6743264309"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Emotion":[0],"Recognition":[1],"in":[2,20,116,141,235],"Conversations":[3],"(ERC)":[4],"is":[5,107],"a":[6,90,97,208],"key":[7],"step":[8],"towards":[9,131],"successful":[10],"human\u2013machine":[11],"interaction.":[12],"While":[13],"the":[14,21,39,80,93,112,121,150,165,193,214,223,229,236],"field":[15],"has":[16],"seen":[17],"tremendous":[18],"advancement":[19],"last":[22],"few":[23],"years,":[24],"new":[25],"applications":[26],"and":[27,33,43,54,70,82,96,143,145,168,187,198,228],"implementation":[28],"scenarios":[29],"present":[30],"novel":[31],"challenges":[32,57,81],"opportunities.":[34],"These":[35],"range":[36],"from":[37],"leveraging":[38,199,217],"conversational":[40],"context,":[41],"speaker,":[42],"emotion":[44,62,94],"dynamics":[45],"modelling,":[46],"to":[47,137,147,176,181,191,204,219],"interpreting":[48],"common":[49],"sense":[50],"expressions,":[51],"informal":[52],"language,":[53],"sarcasm,":[55],"addressing":[56],"of":[58,84,92,99,120,216,225,231],"real-time":[59],"ERC,":[60,69,77],"recognizing":[61],"causes,":[63],"different":[64],"taxonomies":[65,95],"across":[66],"datasets,":[67],"multilingual":[68],"interpretability.":[71],"This":[72,106,211],"survey":[73,212],"starts":[74],"by":[75,109],"introducing":[76],"elaborating":[78,134],"on":[79,135],"opportunities":[83],"this":[85],"task.":[86],"It":[87],"proceeds":[88],"with":[89,118,139,149],"description":[91],"variety":[98],"ERC":[100,117,129,153,206],"benchmark":[101],"datasets":[102],"employing":[103],"such":[104],"taxonomies.":[105],"followed":[108],"descriptions":[110],"comparing":[111,161],"most":[113],"prominent":[114],"works":[115,163,173],"explanations":[119],"neural":[122],"architectures":[123],"employed.":[124],"Then,":[125],"it":[126,156],"provides":[127],"advisable":[128],"practices":[130],"better":[132],"frameworks,":[133],"methods":[136,146,166],"deal":[138,148],"subjectivity":[140,234],"annotations":[142],"modelling":[144],"typically":[151],"unbalanced":[152,221],"datasets.":[154],"Finally,":[155],"presents":[157],"systematic":[158],"review":[159],"tables":[160],"several":[162],"regarding":[164],"used":[167],"their":[169],"performance.":[170],"Benchmarking":[171],"these":[172,196],"highlights":[174],"resorting":[175],"pre-trained":[177],"Transformer":[178],"Language":[179,202],"Models":[180,203],"extract":[182],"utterance":[183],"representations,":[184],"using":[185],"Gated":[186],"Graph":[188],"Neural":[189],"Networks":[190],"model":[192],"interactions":[194],"between":[195],"utterances,":[197],"Generative":[200],"Large":[201],"tackle":[205],"within":[207],"generative":[209],"framework.":[210],"emphasizes":[213],"advantage":[215],"techniques":[218],"address":[220],"data,":[222],"exploration":[224],"mixed":[226],"emotions,":[227],"benefits":[230],"incorporating":[232],"annotation":[233],"learning":[237],"phase.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":20},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}