A TECHNIQUE FOR PERCEIVING ABUSIVE BANGLA COMMENTS
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Abstract
Most of the research on abusive comments or text detection is conducted in English, some of which are intended to detect humiliating or insulting text. But a few works are found in the Bangla language. Detecting abusive text for Bangla language will be helpful to prevent cyber crimes such as online blackmailing, harassment and cyber bullying which are nowadays becoming the main concern in Bangladesh. Our goal is to detect abusive Bangla comments that are gathered from different social sites where people share their views, feelings, opinions, etc. in this paper. In order to classify a bangla comments is abusive or not, we proposed a root level algorithm and also proposed uni-gram string features to achieve a better result. We have collected several comments from renowned social media Facebook for our work.
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