{"id":"https://openalex.org/W4313459200","doi":"https://doi.org/10.1109/iccr56254.2022.9995902","title":"Text-Based Emotion Detection and Applications: A Literature Review","display_name":"Text-Based Emotion Detection and Applications: A Literature Review","publication_year":2022,"publication_date":"2022-10-06","ids":{"openalex":"https://openalex.org/W4313459200","doi":"https://doi.org/10.1109/iccr56254.2022.9995902"},"language":"en","primary_location":{"id":"doi:10.1109/iccr56254.2022.9995902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccr56254.2022.9995902","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","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":"2022 International Conference on Cyber Resilience (ICCR)","raw_type":"proceedings-article"},"type":"review","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/A5052008544","display_name":"Mashary N. Alrasheedy","orcid":"https://orcid.org/0000-0002-4253-1710"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Mashary N. Alrasheedy","raw_affiliation_strings":["Universiti Kebangsaan Malaysia,Faculty of Information Science and Technology,Bangi,Malaysia","Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Kebangsaan Malaysia,Faculty of Information Science and Technology,Bangi,Malaysia","institution_ids":["https://openalex.org/I885383172"]},{"raw_affiliation_string":"Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079386779","display_name":"Ravie Chandren Muniyandi","orcid":"https://orcid.org/0000-0002-8999-9548"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ravie Chandren Muniyandi","raw_affiliation_strings":["Universiti Kebangsaan Malaysia,Faculty of Information Science and Technology,Bangi,Malaysia","Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Kebangsaan Malaysia,Faculty of Information Science and Technology,Bangi,Malaysia","institution_ids":["https://openalex.org/I885383172"]},{"raw_affiliation_string":"Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013608816","display_name":"Fariza Fauzi","orcid":"https://orcid.org/0000-0002-0491-4198"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Fariza Fauzi","raw_affiliation_strings":["Universiti Kebangsaan Malaysia,Faculty of Information Science and Technology,Bangi,Malaysia","Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Kebangsaan Malaysia,Faculty of Information Science and Technology,Bangi,Malaysia","institution_ids":["https://openalex.org/I885383172"]},{"raw_affiliation_string":"Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052008544"],"corresponding_institution_ids":["https://openalex.org/I885383172"],"apc_list":null,"apc_paid":null,"fwci":1.9737,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.88660849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.994700014591217,"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/T12488","display_name":"Mental Health via Writing","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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":0.7779824137687683},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7281138300895691},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.6872650384902954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5859463810920715},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5476280450820923},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5302975177764893},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5022950172424316},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.46376654505729675},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.457247257232666},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.44571566581726074},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42202863097190857},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40033239126205444},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.35022950172424316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3450145423412323},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32393649220466614},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1534210443496704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7779824137687683},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7281138300895691},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.6872650384902954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5859463810920715},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5476280450820923},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5302975177764893},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5022950172424316},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.46376654505729675},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.457247257232666},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.44571566581726074},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42202863097190857},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40033239126205444},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.35022950172424316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3450145423412323},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32393649220466614},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1534210443496704},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccr56254.2022.9995902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccr56254.2022.9995902","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","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":"2022 International Conference on Cyber Resilience (ICCR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1482004817","https://openalex.org/W1971028513","https://openalex.org/W2008264338","https://openalex.org/W2019759670","https://openalex.org/W2066064791","https://openalex.org/W2111148270","https://openalex.org/W2145865487","https://openalex.org/W2148143831","https://openalex.org/W2277050606","https://openalex.org/W2322777686","https://openalex.org/W2341847365","https://openalex.org/W2398136829","https://openalex.org/W2488533857","https://openalex.org/W2750747353","https://openalex.org/W2786205708","https://openalex.org/W2787844831","https://openalex.org/W2805450887","https://openalex.org/W2805744755","https://openalex.org/W2807436356","https://openalex.org/W2903868501","https://openalex.org/W2905807898","https://openalex.org/W2907742997","https://openalex.org/W2910830936","https://openalex.org/W2915802187","https://openalex.org/W2918378401","https://openalex.org/W2924730373","https://openalex.org/W2940849094","https://openalex.org/W2954477390","https://openalex.org/W2954536051","https://openalex.org/W2961723205","https://openalex.org/W2962212820","https://openalex.org/W2966103152","https://openalex.org/W2972635643","https://openalex.org/W2980718707","https://openalex.org/W2992252352","https://openalex.org/W2998433004","https://openalex.org/W3000044483","https://openalex.org/W3013966144","https://openalex.org/W3019220897","https://openalex.org/W3036458464","https://openalex.org/W3037313435","https://openalex.org/W3088965381","https://openalex.org/W3095536082","https://openalex.org/W3108431535","https://openalex.org/W3114199884","https://openalex.org/W3117864197","https://openalex.org/W3126005225","https://openalex.org/W3135551186","https://openalex.org/W3137171007","https://openalex.org/W3144293453","https://openalex.org/W3165405064","https://openalex.org/W3173372706","https://openalex.org/W3174558664","https://openalex.org/W4200482213","https://openalex.org/W4205973286","https://openalex.org/W4229749312","https://openalex.org/W4283825746","https://openalex.org/W4295296320","https://openalex.org/W6634627729","https://openalex.org/W6695085632","https://openalex.org/W6712589319","https://openalex.org/W6713894373","https://openalex.org/W6757805943","https://openalex.org/W6765586505","https://openalex.org/W6766708000","https://openalex.org/W6770212877","https://openalex.org/W6780026764","https://openalex.org/W6791849700","https://openalex.org/W6839493336"],"related_works":["https://openalex.org/W4321608592","https://openalex.org/W2996947050","https://openalex.org/W4391307871","https://openalex.org/W4392502551","https://openalex.org/W2336827033","https://openalex.org/W2505228240","https://openalex.org/W4319318901","https://openalex.org/W2787157782","https://openalex.org/W1876223856","https://openalex.org/W2086792878"],"abstract_inverted_index":{"Emotion":[0],"Detection":[1],"is":[2,51],"the":[3,12,17,24,88,104,111,127,139,143,146,170,184,188,196,204,207,211],"sentiment":[4],"analysis":[5],"process":[6,149],"used":[7,177],"to":[8,33,83,134,141,168,194],"extract":[9,142],"emotions":[10,58,158],"from":[11,59,159,223],"text":[13,61],"that":[14,132,214],"best":[15,197],"represent":[16],"author's":[18],"mental":[19],"state.":[20],"In":[21],"recent":[22],"years,":[23],"emotion":[25,49,107,179,221],"detection":[26,50,222],"domain":[27],"has":[28,80],"become":[29,81],"very":[30],"popular":[31],"due":[32],"its":[34,46],"potential":[35],"applications":[36],"in":[37,53,155,220],"artificial":[38,73],"intelligence,":[39,74],"human-computer":[40],"interaction,":[41],"psychology,":[42],"and":[43,67,75,101,118,122,152,174,187,209],"marketing.":[44],"Despite":[45],"vast":[47],"application,":[48],"challenging":[52],"natural":[54],"language":[55],"processing.":[56],"Detecting":[57],"a":[60],"or":[62],"image":[63],"requires":[64],"exhaustive":[65],"knowledge":[66],"analysis.":[68],"However,":[69,126],"with":[70],"machine":[71,116],"learning,":[72],"data":[76,93],"mining":[77],"advancement,":[78],"it":[79],"possible":[82,198],"face":[84,129],"this":[85],"chal-lenge.":[86],"Furthermore,":[87],"huge":[89],"amount":[90],"of":[91,110],"textual":[92],"available":[94],"online":[95],"through":[96],"social":[97],"media,":[98],"blogs,":[99],"news,":[100],"articles":[102],"helped":[103],"cause.":[105],"For":[106],"detection,":[108],"most":[109],"studies":[112],"have":[113],"relied":[114],"on":[115],"learning":[117,120],"deep":[119],"models":[121],"achieved":[123],"good":[124],"results.":[125],"researchers":[128,193],"some":[130],"challenges":[131],"need":[133],"be":[135,216],"addressed,":[136],"such":[137],"as":[138],"inability":[140],"semantic":[144],"information,":[145],"feature":[147],"extraction":[148],"being":[150],"time-consuming":[151],"inefficient,":[153],"difficulty":[154],"identifying":[156],"different":[157,192],"non-standard":[160],"language,":[161],"imbalanced":[162],"datasets,":[163],"etc.":[164],"This":[165],"article":[166,205],"aims":[167],"explore":[169],"existing":[171],"approaches,":[172],"methods,":[173],"evaluation":[175],"measures":[176],"for":[178,218],"detection.":[180],"The":[181],"significant":[182],"contribution,":[183],"methodology":[185],"applied,":[186],"results":[189,199],"obtained":[190],"by":[191],"gain":[195],"are":[200],"also":[201],"highlighted.":[202],"Finally,":[203],"highlights":[206],"limitations":[208],"provides":[210],"future":[212],"direction":[213],"can":[215],"useful":[217],"research":[219],"text.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
