Bambara Language Dataset for Sentiment Analysis

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 Machin...

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Bibliographic Details
Published in:arXiv.org 2021-08
Main Authors: Diallo, Mountaga, Fourati, Chayma, Haddad, Hatem
Format: Article
Language:English
Subjects:
Data mining
Datasets
Deep learning
Dialects
Machine learning
Natural language processing
Sentiment analysis
Online Access:Get full text
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Summary: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.
ISSN:2331-8422