2024
DOI: 10.5829/ije.2024.37.07a.08
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Investigating Hostile Post Detection in Gujarati: A Machine Learning Approach

B. J. Rameshbhai,
K. Rana

Abstract: Hostile post on social media is a crucial issue for individuals, governments and organizations. There is a critical need for an automated system that can investigate and identify hostile posts from large-scale data. In India, Gujarati is the sixth most spoken language. In this work, we have constructed a major hostile post dataset in the Gujarati language. The data are collected from Twitter, Instagram and Facebook. Our dataset consists of 1,51,000 distinct comments having 10,000 manually annotated posts. Thes… Show more

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