a-abuzayed/Hate-Speech-Detection_OSACT4-Workshop
Quick and Simple Approach for Detecting Hate Speech in Arabic Tweets.
This project helps social media analysts, content moderators, or researchers to identify and flag hate speech in Arabic tweets. It takes raw Arabic tweet text as input and classifies it as either containing hate speech or not. It's designed for those who need a straightforward way to monitor or analyze large volumes of Arabic social media content for harmful language.
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Use this if you need a quick and easy way to automatically detect hate speech within collections of Arabic tweets.
Not ideal if you require highly nuanced classification beyond simple hate speech detection or need to analyze content in languages other than Arabic.
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Jun 01, 2020
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