{"id":"https://openalex.org/W4402683178","doi":"https://doi.org/10.18653/v1/2024.wassa-1.14","title":"Emotion Identification for French in Written Texts: Considering Modes of Emotion Expression as a Step Towards Text Complexity Analysis","display_name":"Emotion Identification for French in Written Texts: Considering Modes of Emotion Expression as a Step Towards Text Complexity Analysis","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402683178","doi":"https://doi.org/10.18653/v1/2024.wassa-1.14"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2024.wassa-1.14","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2024.wassa-1.14","pdf_url":"https://aclanthology.org/2024.wassa-1.14.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, &amp; Social Media Analysis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.wassa-1.14.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059679023","display_name":"Aline \u00c9tienne","orcid":"https://orcid.org/0000-0003-1355-1728"},"institutions":[{"id":"https://openalex.org/I40434647","display_name":"Universit\u00e9 Paris Nanterre","ror":"https://ror.org/013bkhk48","country_code":"FR","type":"education","lineage":["https://openalex.org/I40434647"]},{"id":"https://openalex.org/I4210131706","display_name":"Mod\u00e8les Dynamiques Corpus","ror":"https://ror.org/03x6a1n79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I40434647","https://openalex.org/I4210131706","https://openalex.org/I4210150854"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Aline \u00c9tienne","raw_affiliation_strings":["MoDyCo - Mod\u00e8les, Dynamiques, Corpus (Universit\u00e9 Paris Nanterre  B\u00e2timent A - Bureau 402 A 200, avenue de la R\u00e9publique 92001 Nanterre Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MoDyCo - Mod\u00e8les, Dynamiques, Corpus (Universit\u00e9 Paris Nanterre  B\u00e2timent A - Bureau 402 A 200, avenue de la R\u00e9publique 92001 Nanterre Cedex - France)","institution_ids":["https://openalex.org/I4210131706","https://openalex.org/I40434647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084816132","display_name":"Delphine Battistelli","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I40434647","display_name":"Universit\u00e9 Paris Nanterre","ror":"https://ror.org/013bkhk48","country_code":"FR","type":"education","lineage":["https://openalex.org/I40434647"]},{"id":"https://openalex.org/I4210131706","display_name":"Mod\u00e8les Dynamiques Corpus","ror":"https://ror.org/03x6a1n79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I40434647","https://openalex.org/I4210131706","https://openalex.org/I4210150854"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Delphine Battistelli","raw_affiliation_strings":["Gwnol Lecorv Orange -Lannion , France","MoDyCo - Mod\u00e8les, Dynamiques, Corpus (Universit\u00e9 Paris Nanterre  B\u00e2timent A - Bureau 402 A 200, avenue de la R\u00e9publique 92001 Nanterre Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gwnol Lecorv Orange -Lannion , France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"MoDyCo - Mod\u00e8les, Dynamiques, Corpus (Universit\u00e9 Paris Nanterre  B\u00e2timent A - Bureau 402 A 200, avenue de la R\u00e9publique 92001 Nanterre Cedex - France)","institution_ids":["https://openalex.org/I4210131706","https://openalex.org/I40434647"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002469975","display_name":"Gw\u00e9nol\u00e9 Lecorv\u00e9","orcid":"https://orcid.org/0000-0002-4271-2087"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gw\u00e9nol\u00e9 Lecorv\u00e9","raw_affiliation_strings":["Orange S.A. (111, quai du Pr\u00e9sident Roosevelt\r\n92449 ISSY LES MOULINEAUX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orange S.A. (111, quai du Pr\u00e9sident Roosevelt\r\n92449 ISSY LES MOULINEAUX - France)","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5557,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71966465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"168","last_page":"185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.8810999989509583,"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":0.8810999989509583,"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/T12119","display_name":"Linguistics and Discourse Analysis","score":0.8402000069618225,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.791700005531311,"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/identification","display_name":"Identification (biology)","score":0.7142297625541687},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.6907045841217041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6152874231338501},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5407663583755493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4408954381942749},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3900412619113922},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10975569486618042},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.07949188351631165},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07298675179481506}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7142297625541687},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.6907045841217041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6152874231338501},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5407663583755493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4408954381942749},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3900412619113922},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10975569486618042},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.07949188351631165},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07298675179481506},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2024.wassa-1.14","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2024.wassa-1.14","pdf_url":"https://aclanthology.org/2024.wassa-1.14.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, &amp; Social Media Analysis","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04718946v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04718946","pdf_url":"https://hal.science/hal-04718946v1/file/2024.wassa-1.14.pdf","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis. ACL (Association for Computational Linguistics), ACL (Association for Computational Linguistics), Aug 2024, Bangkok, Thailand","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.wassa-1.14","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2024.wassa-1.14","pdf_url":"https://aclanthology.org/2024.wassa-1.14.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, &amp; Social Media Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402683178.pdf","grobid_xml":"https://content.openalex.org/works/W4402683178.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2392243736","https://openalex.org/W86652014","https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W2328518092","https://openalex.org/W3101249758","https://openalex.org/W2382079200","https://openalex.org/W3204019825"],"abstract_inverted_index":{"The":[0],"objective":[1],"of":[2,40,113,124],"this":[3,110],"paper":[4],"is":[5,26,31,54,96],"to":[6,46,55,74,135,140,150],"predict":[7,141],"(A)":[8],"whether":[9,29],"a":[10,13,47,50,69,75,85,118,152],"sentence":[11],"in":[12,22,44,65,126],"written":[14,98],"text":[15],"expresses":[16],"an":[17,60],"emotion,":[18],"(B)":[19],"the":[20,24,57,121,136,142],"mode(s)":[21],"which":[23],"emotion":[25,61],"expressed,":[27],"(C)":[28],"it":[30,101],"basic":[32],"or":[33,107],"complex,":[34],"and":[35,49,144,146],"(D)":[36],"its":[37],"emotional":[38],"category.One":[39],"our":[41],"major":[42],"contributions,":[43],"addition":[45],"dataset":[48],"model":[51,155],"1":[52],",":[53],"integrate":[56],"fact":[58],"that":[59,87],"can":[62],"be":[63,83],"expressed":[64],"different":[66],"modes:":[67],"from":[68],"direct":[70],"mode,":[71,78],"essentially":[72],"lexicalized,":[73],"more":[76],"indirect":[77],"where":[79],"emotions":[80],"will":[81],"only":[82],"suggested,":[84],"mode":[86,143],"NLP":[88],"approaches":[89],"generally":[90],"don't":[91],"take":[92],"into":[93],"account.The":[94],"scope":[95],"on":[97,105,128,161],"texts,":[99],"i.e.":[100],"does":[102],"not":[103],"focus":[104],"conversational":[106],"multi-modal":[108],"data.In":[109],"context,":[111],"modes":[112],"expression":[114],"are":[115],"seen":[116],"as":[117],"factor":[119],"towards":[120],"automatic":[122],"analysis":[123],"complexity":[125],"texts.Experiments":[127],"French":[129],"texts":[130],"show":[131],"acceptable":[132],"results":[133,148],"compared":[134,149],"human":[137],"annotators'":[138],"agreement":[139],"category,":[145],"outperforming":[147],"using":[151],"large":[153],"language":[154],"with":[156],"in-context":[157],"learning":[158],"(i.e.no":[159],"fine-tuning)":[160],"all":[162],"tasks.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-03-10T14:07:55.174380","created_date":"2025-10-10T00:00:00"}
