Enhancing Sentiment Analysis in Amharic: Leveraging Transformer-Based Language Model for Low-Resource African Languages
Author:
Affiliation:
1. Computer Science & Software Engineering Auburn University,Auburn,AL,USA
2. Computer Science & Computer Information Systems Auburn University at Montgomery,Montgomery,AL,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10500015/10500024/10500147.pdf?arnumber=10500147
Reference36 articles.
1. An Enhanced Feature Acquisition for Sentiment Analysis of English and Hausa Tweets
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3. Adapting pre-trained language models to african languages via multilingual adaptive fine-tuning;Alabi,2022
4. Comparative experiments using supervised learning and machine translation for multilingual sentiment analysis
5. A machine learning approach to sentiment analysis in multilingual Web texts
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