jmjmalik22/Hate-Speech-Detection
Official implementation of the paper "Deep Learning for Hate Speech Detection -A Comparative Study"
This project helps identify and flag hateful or abusive language in text. It takes a collection of text (like social media posts or comments) as input and determines which pieces of text contain hate speech, outputting a classification for each one. This is useful for content moderators, social media managers, or anyone responsible for maintaining safe online communities.
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Use this if you need to automatically detect and filter hate speech from large volumes of text data.
Not ideal if you need to detect nuanced forms of offensive language beyond explicit hate speech, or if you require real-time moderation for extremely high-volume platforms.
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Dec 10, 2021
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