Bambara Language Dataset for Sentiment Analysis
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 1 of its 4 references that are in the map. First posted on arXiv 5 Aug 2021.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 1.
4 papers.
- 2022SERENGETI: Massively Multilingual Language Models for Africacited by 40
- 2025Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Aheadcited by 16
- 2024State of NLP in Kenya: A Surveycited by 7
- 2023UBC-DLNLP at SemEval-2023 Task 12: Impact of Transfer Learning on African Sentiment Analysiscited by 0
- 2025Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead27 May 2025
- 2024State of NLP in Kenya: A Survey13 Oct 2024
- 2023UBC-DLNLP at SemEval-2023 Task 12: Impact of Transfer Learning on African Sentiment Analysis21 Apr 2023
- 2022SERENGETI: Massively Multilingual Language Models for Africa21 Dec 2022