{"id":"https://openalex.org/W4402352178","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650878","title":"Sabi\u00e1 in Action: An Investigation of its Abilities in Aspect-Based Sentiment Analysis, Hate Speech Detection, Irony Detection, and Question-Answering","display_name":"Sabi\u00e1 in Action: An Investigation of its Abilities in Aspect-Based Sentiment Analysis, Hate Speech Detection, Irony Detection, and Question-Answering","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352178","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650878"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650878","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5086970219","display_name":"J\u00falia Da Rocha Junqueira","orcid":"https://orcid.org/0009-0008-6600-3163"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"J\u00falia Da Rocha Junqueira","raw_affiliation_strings":["Federal University of Pelotas (UFPel),Technological Development Center (CDTec),Pelotas,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas (UFPel),Technological Development Center (CDTec),Pelotas,Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051431128","display_name":"\u00c9merson Philippe Lopes","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"\u00c9merson P. Lopes","raw_affiliation_strings":["Federal University of Pelotas (UFPel),Technological Development Center (CDTec),Pelotas,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas (UFPel),Technological Development Center (CDTec),Pelotas,Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109778675","display_name":"Claudio Luis Da S. M.","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Claudio Luis Da S. M.","raw_affiliation_strings":["Federal University of Pelotas (UFPel),Technological Development Center (CDTec),Pelotas,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas (UFPel),Technological Development Center (CDTec),Pelotas,Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101246900","display_name":"F\u00e9lix Leonel V. Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"F\u00e9lix Leonel V. Silva","raw_affiliation_strings":["Federal University of Pelotas (UFPel),Technological Development Center (CDTec),Pelotas,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas (UFPel),Technological Development Center (CDTec),Pelotas,Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Eduarda Abreu Carvalho","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduarda Abreu Carvalho","raw_affiliation_strings":["Federal University of Pelotas (UFPel),Technological Development Center (CDTec),Pelotas,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas (UFPel),Technological Development Center (CDTec),Pelotas,Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021755144","display_name":"Larissa Astrogildo de Freitas","orcid":"https://orcid.org/0000-0001-7708-4116"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Larissa Freitas","raw_affiliation_strings":["Federal University of Pelotas (UFPel),Technological Development Center (CDTec),Pelotas,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas (UFPel),Technological Development Center (CDTec),Pelotas,Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107079561","display_name":"Ulisses Brisolara","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ulisses Brisolara","raw_affiliation_strings":["Federal University of Pelotas (UFPel),Technological Development Center (CDTec),Pelotas,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas (UFPel),Technological Development Center (CDTec),Pelotas,Brazil","institution_ids":["https://openalex.org/I169248161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I169248161"],"apc_list":null,"apc_paid":null,"fwci":0.3252,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52254078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991000294685364,"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":0.9991000294685364,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9984999895095825,"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/T10028","display_name":"Topic Modeling","score":0.9902999997138977,"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/irony","display_name":"Irony","score":0.7158026099205017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6637349128723145},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5583465099334717},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.531453013420105},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.5218731164932251},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.47948843240737915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4517195224761963},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4474228024482727},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.2685154676437378},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2569286823272705},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07432544231414795},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.07206973433494568}],"concepts":[{"id":"https://openalex.org/C2779975665","wikidata":"https://www.wikidata.org/wiki/Q131361","display_name":"Irony","level":2,"score":0.7158026099205017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6637349128723145},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5583465099334717},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.531453013420105},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.5218731164932251},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.47948843240737915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4517195224761963},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4474228024482727},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.2685154676437378},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2569286823272705},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07432544231414795},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.07206973433494568},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650878","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4099999964237213,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2398936787","https://openalex.org/W2913721745","https://openalex.org/W2963748441","https://openalex.org/W2970597249","https://openalex.org/W3011411500","https://openalex.org/W3096266342","https://openalex.org/W3104415840","https://openalex.org/W3176119108","https://openalex.org/W3196936023","https://openalex.org/W3197503774","https://openalex.org/W4233906183","https://openalex.org/W4283026156","https://openalex.org/W4284691825","https://openalex.org/W4287687023","https://openalex.org/W4322718191","https://openalex.org/W4360836968","https://openalex.org/W4361865428","https://openalex.org/W4375858811","https://openalex.org/W4385135892","https://openalex.org/W4386915892","https://openalex.org/W4387522367","https://openalex.org/W4389766097","https://openalex.org/W4391021470","https://openalex.org/W4391136507","https://openalex.org/W4401042286","https://openalex.org/W6660201401","https://openalex.org/W6747547046","https://openalex.org/W6763701032","https://openalex.org/W6769318315","https://openalex.org/W6782676219","https://openalex.org/W6783981339","https://openalex.org/W6801440491","https://openalex.org/W6801634473","https://openalex.org/W6838461927","https://openalex.org/W6850625674","https://openalex.org/W6850936240","https://openalex.org/W6851139428","https://openalex.org/W6853276200","https://openalex.org/W6858039775","https://openalex.org/W6859464153"],"related_works":["https://openalex.org/W3135230428","https://openalex.org/W2904739811","https://openalex.org/W2152158029","https://openalex.org/W2012540220","https://openalex.org/W2131711534","https://openalex.org/W2559837139","https://openalex.org/W1151175420","https://openalex.org/W2166690696","https://openalex.org/W2407342067","https://openalex.org/W2541680182"],"abstract_inverted_index":{"This":[0,35,111],"research":[1,73],"investigates":[2],"the":[3,6,13,24,31,63,98,115,125,137,163],"efficacy":[4],"of":[5,15,117,128,142],"versatile":[7],"Sabi\u00e1-7B":[8,76,143],"model,":[9],"employed":[10],"to":[11,29,107,152],"decipher":[12],"complexities":[14],"Portuguese":[16,32],"language":[17,33],"across":[18],"various":[19,145],"tasks.":[20],"Leveraging":[21],"state-of-the-art":[22],"architecture,":[23],"model":[25,99],"extends":[26],"LLaMA-7B":[27],"pre-training":[28],"represent":[30],"better.":[34],"study":[36],"focuses":[37],"on":[38,136],"evaluating":[39],"Sabi\u00e1-7B\u2019s":[40],"performance":[41],"in":[42,94,102,114,144],"Aspect-Based":[43],"Sentiment":[44],"Analysis":[45],"(ABSA),":[46],"Hate":[47],"Speech":[48],"Detection":[49,52],"(HS),":[50],"Irony":[51],"(ID),":[53],"and":[54,66,139,162],"Question-Answering":[55],"(QA)":[56],"tasks":[57],"using":[58],"a":[59],"few-shot":[60,64,87],"approach.":[61],"Employing":[62],"method":[65],"prompt":[67],"engineering":[68],"throughout":[69],"task":[70],"executions,":[71],"our":[72],"revealed":[74],"that":[75],"exhibits":[77],"notable":[78],"proficiency,":[79],"mainly":[80],"when":[81],"provided":[82],"with":[83],"ample":[84],"examples":[85],"during":[86],"extraction.":[88],"However,":[89],"particular":[90],"challenges":[91],"emerged,":[92],"especially":[93],"QA":[95],"tasks,":[96],"where":[97],"displayed":[100],"limitations":[101,141],"generating":[103],"precise":[104],"answers":[105],"compared":[106],"expected":[108],"exact":[109,130],"responses.":[110],"limitation":[112],"resulted":[113],"inclusion":[116],"extraneous":[118],"words,":[119],"potentially":[120],"classified":[121],"as":[122],"irrelevant,":[123],"impeding":[124],"accurate":[126],"identification":[127],"an":[129],"match.":[131],"Our":[132],"investigation":[133],"sheds":[134],"light":[135],"strengths":[138],"potential":[140],"NLP":[146],"domains.":[147],"As":[148],"AI":[149],"capabilities":[150],"continue":[151],"advance,":[153],"understanding":[154],"these":[155],"intricacies":[156],"becomes":[157],"essential":[158],"for":[159],"practical":[160],"applications":[161],"field\u2019s":[164],"ongoing":[165],"development.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
