{"id":"https://openalex.org/W4387090427","doi":"https://doi.org/10.1109/cita58204.2023.10262742","title":"Fine-tuning Multilingual Transformers for Hausa-English Sentiment Analysis","display_name":"Fine-tuning Multilingual Transformers for Hausa-English Sentiment Analysis","publication_year":2023,"publication_date":"2023-08-03","ids":{"openalex":"https://openalex.org/W4387090427","doi":"https://doi.org/10.1109/cita58204.2023.10262742"},"language":"en","primary_location":{"id":"doi:10.1109/cita58204.2023.10262742","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cita58204.2023.10262742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th International Conference on Information Technology in Asia (CITA)","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/A5071032971","display_name":"Aliyu Yusuf","orcid":"https://orcid.org/0009-0009-6541-913X"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Aliyu Yusuf","raw_affiliation_strings":["Universiti Teknologi PETRONAS,Department of Computer and Information Science,Perak,Malaysia","Department of Computer and Information Science, Universiti Teknologi PETRONAS, Perak, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Teknologi PETRONAS,Department of Computer and Information Science,Perak,Malaysia","institution_ids":["https://openalex.org/I203899302"]},{"raw_affiliation_string":"Department of Computer and Information Science, Universiti Teknologi PETRONAS, Perak, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019616714","display_name":"Aliza Sarlan","orcid":"https://orcid.org/0000-0002-6342-9993"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Aliza Sarlan","raw_affiliation_strings":["Universiti Teknologi PETRONAS,Centre for Foundation Studies,Perak,Malaysia","Centre for Foundation Studies, Universiti Teknologi PETRONAS, Perak, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Teknologi PETRONAS,Centre for Foundation Studies,Perak,Malaysia","institution_ids":["https://openalex.org/I203899302"]},{"raw_affiliation_string":"Centre for Foundation Studies, Universiti Teknologi PETRONAS, Perak, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041725029","display_name":"Kamaluddeen Usman Danyaro","orcid":"https://orcid.org/0000-0003-1022-4983"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Kamaluddeen Usman Danyaro","raw_affiliation_strings":["Universiti Teknologi PETRONAS,Department of Computer and Information Science,Perak,Malaysia","Department of Computer and Information Science, Universiti Teknologi PETRONAS, Perak, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Teknologi PETRONAS,Department of Computer and Information Science,Perak,Malaysia","institution_ids":["https://openalex.org/I203899302"]},{"raw_affiliation_string":"Department of Computer and Information Science, Universiti Teknologi PETRONAS, Perak, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101249238","display_name":"Abdullahi Sani B A Rahman","orcid":null},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Abdullahi Sani B A Rahman","raw_affiliation_strings":["Universiti Teknologi PETRONAS,Department of Computer and Information Science,Perak,Malaysia","Department of Computer and Information Science, Universiti Teknologi PETRONAS, Perak, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Teknologi PETRONAS,Department of Computer and Information Science,Perak,Malaysia","institution_ids":["https://openalex.org/I203899302"]},{"raw_affiliation_string":"Department of Computer and Information Science, Universiti Teknologi PETRONAS, Perak, Malaysia","institution_ids":["https://openalex.org/I203899302"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I203899302"],"apc_list":null,"apc_paid":null,"fwci":1.3067,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82999984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"18"},"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/T10028","display_name":"Topic Modeling","score":0.9983000159263611,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9886000156402588,"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/hausa","display_name":"Hausa","score":0.8778718113899231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8271006345748901},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7236874103546143},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.7136920094490051},{"id":"https://openalex.org/keywords/collaboratory","display_name":"Collaboratory","score":0.6295046210289001},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6043118238449097},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5631346702575684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5426666140556335},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.45207831263542175},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4164496660232544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34237998723983765},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3249109089374542},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.21738392114639282},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21347931027412415},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10916945338249207}],"concepts":[{"id":"https://openalex.org/C153924320","wikidata":"https://www.wikidata.org/wiki/Q56475","display_name":"Hausa","level":2,"score":0.8778718113899231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8271006345748901},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7236874103546143},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.7136920094490051},{"id":"https://openalex.org/C2776787376","wikidata":"https://www.wikidata.org/wiki/Q5145870","display_name":"Collaboratory","level":2,"score":0.6295046210289001},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6043118238449097},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5631346702575684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5426666140556335},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.45207831263542175},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4164496660232544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34237998723983765},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3249109089374542},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.21738392114639282},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21347931027412415},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10916945338249207},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cita58204.2023.10262742","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cita58204.2023.10262742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th International Conference on Information Technology in Asia (CITA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323380","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07"},{"id":"https://openalex.org/F4320335413","display_name":"Petroleum Technology Development Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2345493290","https://openalex.org/W2770803436","https://openalex.org/W2896457183","https://openalex.org/W2955109214","https://openalex.org/W2965373594","https://openalex.org/W2990536488","https://openalex.org/W3003963580","https://openalex.org/W3021183694","https://openalex.org/W3031763947","https://openalex.org/W3034196716","https://openalex.org/W3035390927","https://openalex.org/W3088765773","https://openalex.org/W3102505243","https://openalex.org/W3131976433","https://openalex.org/W3150290404","https://openalex.org/W3160009589","https://openalex.org/W3162156923","https://openalex.org/W3164810016","https://openalex.org/W3168656614","https://openalex.org/W3204695997","https://openalex.org/W3208079203","https://openalex.org/W3214618715","https://openalex.org/W3216452752","https://openalex.org/W4221155692","https://openalex.org/W4223981550","https://openalex.org/W4224001239","https://openalex.org/W4287025617","https://openalex.org/W4287633642","https://openalex.org/W4287758476","https://openalex.org/W4293078876","https://openalex.org/W4312257216","https://openalex.org/W6755207826","https://openalex.org/W6766673545","https://openalex.org/W6784336138","https://openalex.org/W6791076331","https://openalex.org/W6799370299","https://openalex.org/W6804884774","https://openalex.org/W6809497097","https://openalex.org/W6847974953"],"related_works":["https://openalex.org/W4229804924","https://openalex.org/W4247240413","https://openalex.org/W2063389094","https://openalex.org/W3185091427","https://openalex.org/W4232097277","https://openalex.org/W2121423739","https://openalex.org/W2152394036","https://openalex.org/W1607822470","https://openalex.org/W4200615067","https://openalex.org/W4246230874"],"abstract_inverted_index":{"Accurate":[0],"sentiment":[1,29,48,63],"analysis":[2,30],"is":[3],"greatly":[4],"hindered":[5],"by":[6],"the":[7,12,19,22,39,119,123,134,146,156,160,168],"code-switching":[8],"phenomena,":[9],"especially":[10],"in":[11,86],"setting":[13],"low":[14],"resource":[15],"language":[16,47,55,70],"such":[17],"as":[18],"Hausa.":[20],"However,":[21],"majority":[23],"of":[24,41,101,128,145,158,170],"previous":[25],"studies":[26],"on":[27,79],"Hausa":[28,46],"have":[31],"mainly":[32],"ignored":[33],"this":[34,87],"problem.":[35],"This":[36],"study":[37,88,154],"explores":[38],"use":[40],"transformer":[42],"fine-tuning":[43,171],"techniques":[44],"for":[45,111,174],"classification":[49,64],"tasks":[50],"using":[51,67],"three":[52],"pre-trained":[53,137,172],"multilingual":[54],"models:":[56],"Roberta,":[57],"XLM-R,":[58],"and":[59,71,92,96,108,126,130,141,167],"mBERT.":[60],"A":[61],"multilabel":[62],"was":[65],"conducted":[66],"Python":[68],"programming":[69],"TensorFlow":[72],"library,":[73],"with":[74,105],"a":[75],"GPU":[76],"hardware":[77],"accelerator":[78],"Google":[80],"Collaboratory.":[81],"The":[82,115,139,153],"Twitter":[83],"dataset":[84],"used":[85],"contains":[89],"16849":[90],"train":[91,112,140],"2677":[93],"unlabeled":[94,99],"dev":[95],"5303":[97],"test":[98],"samples":[100],"tweets/accounts,":[102],"each":[103],"labelled":[104],"positive,":[106],"negative,":[107],"neutral":[109],"respectively":[110],"set":[113],"data.":[114],"findings":[116],"demonstrate":[117],"that":[118],"mBERT-base-cased":[120],"model":[121,148],"gets":[122],"maximum":[124],"accuracy":[125,143],"F1-score":[127],"0.73%":[129],"0.73%,":[131],"respectively,":[132],"outperforming":[133],"other":[135],"two":[136],"models.":[138],"validation":[142],"graph":[144],"mBERT":[147],"shows":[149],"improvement":[150],"over":[151],"time.":[152],"underscores":[155],"importance":[157],"tailoring":[159],"implementation":[161],"code":[162],"to":[163],"meet":[164],"specific":[165],"requirements":[166],"significance":[169],"models":[173],"optimal":[175],"performance.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}