{"id":"https://openalex.org/W4385135892","doi":"https://doi.org/10.1007/s10579-023-09656-1","title":"The limitations of irony detection in Dutch social media","display_name":"The limitations of irony detection in Dutch social media","publication_year":2023,"publication_date":"2023-07-23","ids":{"openalex":"https://openalex.org/W4385135892","doi":"https://doi.org/10.1007/s10579-023-09656-1"},"language":"en","primary_location":{"id":"doi:10.1007/s10579-023-09656-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10579-023-09656-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10579-023-09656-1.pdf","source":{"id":"https://openalex.org/S4306424877","display_name":"Language Resources and Evaluation","issn_l":"1574-020X","issn":["1574-020X","1574-0218"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Language Resources and Evaluation","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/s10579-023-09656-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054051755","display_name":"Aaron Maladry","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Aaron Maladry","raw_affiliation_strings":["LT3, Ghent University, Groot-Brittanni\u00eblaan 45, Ghent, 9000, Belgium"],"affiliations":[{"raw_affiliation_string":"LT3, Ghent University, Groot-Brittanni\u00eblaan 45, Ghent, 9000, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023493215","display_name":"Els Lefever","orcid":"https://orcid.org/0000-0002-7755-0591"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Els Lefever","raw_affiliation_strings":["LT3, Ghent University, Groot-Brittanni\u00eblaan 45, Ghent, 9000, Belgium"],"affiliations":[{"raw_affiliation_string":"LT3, Ghent University, Groot-Brittanni\u00eblaan 45, Ghent, 9000, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004857927","display_name":"Cynthia Van Hee","orcid":"https://orcid.org/0000-0001-7365-6703"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Cynthia Van Hee","raw_affiliation_strings":["LT3, Ghent University, Groot-Brittanni\u00eblaan 45, Ghent, 9000, Belgium"],"affiliations":[{"raw_affiliation_string":"LT3, Ghent University, Groot-Brittanni\u00eblaan 45, Ghent, 9000, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019867041","display_name":"V\u00e9ronique Hoste","orcid":"https://orcid.org/0000-0002-0539-4630"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"V\u00e9ronique Hoste","raw_affiliation_strings":["LT3, Ghent University, Groot-Brittanni\u00eblaan 45, Ghent, 9000, Belgium"],"affiliations":[{"raw_affiliation_string":"LT3, Ghent University, Groot-Brittanni\u00eblaan 45, Ghent, 9000, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054051755"],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":1.5844,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86385012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"58","issue":"4","first_page":"1355","last_page":"1386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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/T13155","display_name":"Digital Communication and Language","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T12119","display_name":"Linguistics and Discourse Analysis","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/irony","display_name":"Irony","score":0.8509821891784668},{"id":"https://openalex.org/keywords/sarcasm","display_name":"Sarcasm","score":0.7860918045043945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7546846270561218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6191074848175049},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6123920679092407},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5713051557540894},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.484421044588089},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.46527597308158875},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.260360449552536}],"concepts":[{"id":"https://openalex.org/C2779975665","wikidata":"https://www.wikidata.org/wiki/Q131361","display_name":"Irony","level":2,"score":0.8509821891784668},{"id":"https://openalex.org/C2776207355","wikidata":"https://www.wikidata.org/wiki/Q191035","display_name":"Sarcasm","level":3,"score":0.7860918045043945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546846270561218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6191074848175049},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6123920679092407},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5713051557540894},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.484421044588089},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.46527597308158875},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.260360449552536},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10579-023-09656-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10579-023-09656-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10579-023-09656-1.pdf","source":{"id":"https://openalex.org/S4306424877","display_name":"Language Resources and Evaluation","issn_l":"1574-020X","issn":["1574-020X","1574-0218"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Language Resources and Evaluation","raw_type":"journal-article"},{"id":"pmh:oai:archive.ugent.be:01H68PT2CKPQ6H9KVAY53FBFD4","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-01H68PT2CKPQ6H9KVAY53FBFD4","pdf_url":"https://biblio.ugent.be/publication/01H68PT2CKPQ6H9KVAY53FBFD4/file/01H68PWXMRRS1JTVX0R9R387X8.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1574-0218","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/s10579-023-09656-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10579-023-09656-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10579-023-09656-1.pdf","source":{"id":"https://openalex.org/S4306424877","display_name":"Language Resources and Evaluation","issn_l":"1574-020X","issn":["1574-020X","1574-0218"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Language Resources and Evaluation","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G7285706749","display_name":null,"funder_award_id":"BOF.24Y.2021.0019.01","funder_id":"https://openalex.org/F4320322603","funder_display_name":"Universiteit Gent"}],"funders":[{"id":"https://openalex.org/F4320322603","display_name":"Universiteit Gent","ror":"https://ror.org/00cv9y106"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385135892.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W19325706","https://openalex.org/W1570518225","https://openalex.org/W1614298861","https://openalex.org/W2008958455","https://openalex.org/W2038997150","https://openalex.org/W2041400887","https://openalex.org/W2099653665","https://openalex.org/W2114661483","https://openalex.org/W2122522916","https://openalex.org/W2134800885","https://openalex.org/W2139511937","https://openalex.org/W2250489604","https://openalex.org/W2250710744","https://openalex.org/W2251379416","https://openalex.org/W2264742718","https://openalex.org/W2394787500","https://openalex.org/W2397798297","https://openalex.org/W2410335962","https://openalex.org/W2463843470","https://openalex.org/W2512532697","https://openalex.org/W2544245958","https://openalex.org/W2767606516","https://openalex.org/W2806834924","https://openalex.org/W2806962183","https://openalex.org/W2807333695","https://openalex.org/W2891737971","https://openalex.org/W2896457183","https://openalex.org/W2954902138","https://openalex.org/W2955219525","https://openalex.org/W2989947381","https://openalex.org/W2991568321","https://openalex.org/W3023926726","https://openalex.org/W3035390927","https://openalex.org/W3035422918","https://openalex.org/W3100382072","https://openalex.org/W3103101828","https://openalex.org/W3103593657","https://openalex.org/W3105220303","https://openalex.org/W3115874212","https://openalex.org/W3116718057","https://openalex.org/W3122631664","https://openalex.org/W4234121419","https://openalex.org/W4285251154","https://openalex.org/W4287200699","https://openalex.org/W4287888944","https://openalex.org/W6674159460","https://openalex.org/W6734194636","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W589925897","https://openalex.org/W2561892072","https://openalex.org/W1994630074","https://openalex.org/W848438165","https://openalex.org/W2085360624","https://openalex.org/W2565799483","https://openalex.org/W3008485937","https://openalex.org/W4389966924","https://openalex.org/W4311456785","https://openalex.org/W2477419824"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2,16,133],"paper,":[3],"we":[4,18,72],"explore":[5],"the":[6,67,76,106,142,160],"feasibility":[7],"of":[8,43,70,78,89,141,166,174],"irony":[9,91,127],"detection":[10],"in":[11,66],"Dutch":[12],"social":[13],"media.":[14],"To":[15],"end,":[17],"investigate":[19],"both":[20],"transformer":[21],"models":[22],"with":[23,33],"embedding":[24],"representations,":[25],"as":[26,28,52,54,96,98,124,126],"well":[27,53,97],"traditional":[29],"machine":[30],"learning":[31],"classifiers":[32],"extensive":[34],"feature":[35],"sets.":[36],"Our":[37],"feature-based":[38],"methodology":[39],"implements":[40],"a":[41,81,122,130,137],"variety":[42],"information":[44],"sources":[45],"including":[46],"lexical,":[47],"semantic,":[48],"syntactic,":[49],"sentiment":[50],"features,":[51],"two":[55],"new":[56],"data-driven":[57],"features":[58],"to":[59,74,86,104,115,149,153,169],"model":[60,75],"common":[61],"sense.":[62],"Based":[63],"on":[64],"patterns":[65],"syntactic":[68],"structure":[69],"tweets,":[71],"aim":[73],"presence":[77],"contrasting":[79],"sentiments,":[80],"phenomenon":[82],"that":[83],"is":[84],"known":[85],"be":[87,150],"indicative":[88],"verbal":[90],"and":[92],"sarcasm.":[93],"Feature":[94],"selection,":[95],"voting":[99],"ensemble":[100],"techniques":[101],"were":[102],"implemented":[103],"enhance":[105],"classification":[107],"performance.":[108],"The":[109],"final":[110],"systems":[111],"reach":[112],"F1-scores":[113],"up":[114],"0.79,":[116],"which":[117],"are":[118],"promising":[119],"results":[120],"for":[121,162],"task":[123],"difficult":[125],"detection.":[128],"Besides":[129],"quantitative":[131],"analysis,":[132],"paper":[134],"also":[135,158],"describes":[136],"thorough":[138],"qualitative":[139],"analysis":[140,157],"system":[143],"output.":[144],"Although":[145],"lexical":[146],"cues":[147],"appear":[148],"very":[151],"important":[152],"express":[154],"irony,":[155],"our":[156],"revealed":[159],"need":[161],"more":[163,171],"advanced":[164],"modeling":[165],"common-sense":[167],"knowledge":[168],"detect":[170],"subtle":[172],"examples":[173],"irony.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
