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What is Bengali Social Media Vulgarity Analysis about?

This paper presents the first comprehensive analysis of vulgarity in Bengali social media content, revealing that 20% to 34% of comments contain vulgar language. Two benchmark corpora of 7,245 comments were manually annotated and analyzed using various machine learning and deep learning approaches to identify vulgarity, with the BiLSTM model achieving the highest recall scores. The study highlights the correlation between vulgarity and negative sentiment in social media comments and provides publicly availa

Author

Nischal Mishra

Language

EN