{"id":"https://openalex.org/W4385350475","doi":"https://doi.org/10.3233/jifs-224514","title":"Automatic sarcasm detection in Arabic tweets: resources and approaches","display_name":"Automatic sarcasm detection in Arabic tweets: resources and approaches","publication_year":2023,"publication_date":"2023-07-28","ids":{"openalex":"https://openalex.org/W4385350475","doi":"https://doi.org/10.3233/jifs-224514"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-224514","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-224514","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy 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/A5002943334","display_name":"Soukaina Mihi","orcid":"https://orcid.org/0000-0002-1409-8841"},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Soukaina Mihi","raw_affiliation_strings":["Faculty of Sciences and Techniques, IR2M Laboratory, Hassan First University of Settat, Settat, Morocco"],"affiliations":[{"raw_affiliation_string":"Faculty of Sciences and Techniques, IR2M Laboratory, Hassan First University of Settat, Settat, Morocco","institution_ids":["https://openalex.org/I4210145365"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035575789","display_name":"Brahim Ait Ben Ali","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Brahim Ait Benali","raw_affiliation_strings":["Faculty of Sciences and Techniques, IR2M Laboratory, Hassan First University of Settat, Settat, Morocco"],"affiliations":[{"raw_affiliation_string":"Faculty of Sciences and Techniques, IR2M Laboratory, Hassan First University of Settat, Settat, Morocco","institution_ids":["https://openalex.org/I4210145365"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022118227","display_name":"Nabil Laachfoubi","orcid":"https://orcid.org/0000-0002-0565-4789"},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Nabil Laachfoubi","raw_affiliation_strings":["Faculty of Sciences and Techniques, IR2M Laboratory, Hassan First University of Settat, Settat, Morocco"],"affiliations":[{"raw_affiliation_string":"Faculty of Sciences and Techniques, IR2M Laboratory, Hassan First University of Settat, Settat, Morocco","institution_ids":["https://openalex.org/I4210145365"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002943334"],"corresponding_institution_ids":["https://openalex.org/I4210145365"],"apc_list":null,"apc_paid":null,"fwci":0.3491,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64360958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"45","issue":"6","first_page":"9483","last_page":"9497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9975000023841858,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/sarcasm","display_name":"Sarcasm","score":0.9958581328392029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7141661047935486},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.67093425989151},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6649335026741028},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5664808750152588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5553911924362183},{"id":"https://openalex.org/keywords/deception","display_name":"Deception","score":0.5107638835906982},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5068512558937073},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42587897181510925},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.32058531045913696},{"id":"https://openalex.org/keywords/irony","display_name":"Irony","score":0.27871590852737427},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.25781235098838806},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.10600811243057251}],"concepts":[{"id":"https://openalex.org/C2776207355","wikidata":"https://www.wikidata.org/wiki/Q191035","display_name":"Sarcasm","level":3,"score":0.9958581328392029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7141661047935486},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.67093425989151},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6649335026741028},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5664808750152588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5553911924362183},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.5107638835906982},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5068512558937073},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42587897181510925},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.32058531045913696},{"id":"https://openalex.org/C2779975665","wikidata":"https://www.wikidata.org/wiki/Q131361","display_name":"Irony","level":2,"score":0.27871590852737427},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.25781235098838806},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.10600811243057251},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-224514","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-224514","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W872253517","https://openalex.org/W2024011160","https://openalex.org/W2219354571","https://openalex.org/W2250204095","https://openalex.org/W2250247764","https://openalex.org/W2250594687","https://openalex.org/W2252381721","https://openalex.org/W2397798297","https://openalex.org/W2472594302","https://openalex.org/W2512470422","https://openalex.org/W2513138008","https://openalex.org/W2537906591","https://openalex.org/W2598852632","https://openalex.org/W2599054872","https://openalex.org/W2626407095","https://openalex.org/W2760733354","https://openalex.org/W2767481019","https://openalex.org/W2773532513","https://openalex.org/W2786781024","https://openalex.org/W2807333695","https://openalex.org/W2807671431","https://openalex.org/W2883399209","https://openalex.org/W2890931798","https://openalex.org/W2908852800","https://openalex.org/W2916132663","https://openalex.org/W2954498767","https://openalex.org/W2964573145","https://openalex.org/W2966734007","https://openalex.org/W2988565954","https://openalex.org/W2990612494","https://openalex.org/W3004026490","https://openalex.org/W3022550801","https://openalex.org/W3096616455","https://openalex.org/W3113447537","https://openalex.org/W3162395105","https://openalex.org/W3168221706","https://openalex.org/W4206593922","https://openalex.org/W4210295555","https://openalex.org/W4220916830","https://openalex.org/W4224282090","https://openalex.org/W4287854975","https://openalex.org/W4287890990","https://openalex.org/W4287890992","https://openalex.org/W6604324126","https://openalex.org/W6691436989","https://openalex.org/W6767883279","https://openalex.org/W6784850579","https://openalex.org/W6840586545","https://openalex.org/W6840836740","https://openalex.org/W6841014804"],"related_works":["https://openalex.org/W2900446122","https://openalex.org/W4312684429","https://openalex.org/W3037315328","https://openalex.org/W3101138303","https://openalex.org/W2349372848","https://openalex.org/W2753593955","https://openalex.org/W2907442881","https://openalex.org/W2785935389","https://openalex.org/W2892193869","https://openalex.org/W3002413615"],"abstract_inverted_index":{"Sentiment":[0,26,83],"analysis":[1,27,46,84,110],"has":[2,28],"become":[3],"a":[4,39,43,89,121],"prevalent":[5],"issue":[6],"in":[7,94,101],"the":[8,59,64,68,72,75,78,81,106,117,126,135,139],"research":[9],"community,":[10],"with":[11],"researchers":[12],"employing":[13],"data":[14,103],"mining":[15],"and":[16,54,125,141],"artificial":[17],"intelligence":[18],"approaches":[19],"to":[20,38,115],"extract":[21],"insights":[22],"from":[23,30,63],"textual":[24,102],"data.":[25],"progressed":[29],"simply":[31],"classifying":[32],"evaluations":[33],"as":[34],"positive":[35],"or":[36],"negative":[37],"sophisticated":[40],"task":[41],"requiring":[42],"fine-grained":[44],"multimodal":[45],"of":[47,50,67,74,80,108,120],"emotions,":[48],"manifestations":[49],"sarcasm,":[51],"aggression,":[52],"hatred,":[53],"racism.":[55],"Sarcasm":[56],"occurs":[57],"when":[58,88],"intended":[60],"message":[61],"differs":[62],"literal":[65],"meaning":[66],"words":[69],"employed.":[70],"Generally,":[71],"content":[73],"utterance":[76],"is":[77,92],"opposite":[79],"context.":[82],"tasks":[85],"are":[86],"hampered":[87],"sarcastic":[90],"tone":[91],"recognized":[93],"user-generated":[95],"content.":[96],"Thus,":[97],"automatic":[98],"sarcasm":[99,122],"detection":[100,123],"dramatically":[104],"impacts":[105],"performance":[107],"sentiment":[109],"models.":[111],"This":[112],"study":[113],"aims":[114],"explain":[116],"basic":[118],"architecture":[119],"system":[124],"most":[127],"effective":[128],"techniques":[129],"for":[130,134],"extracting":[131],"sarcasm.":[132],"Then,":[133],"Arabic":[136],"language,":[137],"determining":[138],"gap":[140],"challenges.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-01-20T17:24:06.736184","created_date":"2025-10-10T00:00:00"}
