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Sentiment Classification in Bangla Textual Content: A Comparative Study
[article]
2020
arXiv
pre-print
Sentiment analysis has been widely used to understand our views on social and political agendas or user experiences over a product. It is one of the cores and well-researched areas in NLP. However, for low-resource languages, like Bangla, one of the prominent challenge is the lack of resources. Another important limitation, in the current literature for Bangla, is the absence of comparable results due to the lack of a well-defined train/test split. In this study, we explore several publicly
arXiv:2011.10106v1
fatcat:zq5nsekikrhkld3wulovgevzu4