Fine-tuning Multilingual Transformers for Hausa-English Sentiment Analysis
Accurate sentiment analysis is greatly hindered by the code-switching phenomena, especially in the setting low resource language such as the Hausa. However, the majority of previous studies on Hausa sentiment analysis have mainly ignored this problem. This study explores the use of transformer fine-...
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| 主要な著者: | , , , |
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| フォーマット: | Conference or Workshop Item |
| 出版事項: |
2023
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| オンライン･アクセス: | http://scholars.utp.edu.my/id/eprint/38065/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174169838&doi=10.1109%2fCITA58204.2023.10262742&partnerID=40&md5=510b4f111c1bb96716742e140aabfcf3 |
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