For easier communication, posting, or commenting on each others posts, people use their dialects. In Africa, various languages and dialects exist. However, they are still underrepresented and not fully exploited for analytical studies and research purposes. In order to perform approaches like Machine Learning and Deep Learning, datasets are required. One of the African languages is Bambara, used by citizens in different countries. However, no previous work on datasets for this language was performed for Sentiment Analysis. In this paper, we present the first common-crawl-based Bambara dialectal dataset dedicated for Sentiment Analysis, available freely for Natural Language Processing research purposes.
@article{arxiv.2108.02524,
title = {Bambara Language Dataset for Sentiment Analysis},
author = {Mountaga Diallo and Chayma Fourati and Hatem Haddad},
journal= {arXiv preprint arXiv:2108.02524},
year = {2021}
}
Comments
2nd Workshop on Practical ML for Developing Countries: Learning Under Limited/low Resource Scenarios, International Conference on Learning Representations, 2021