batuhanguler/Offensive-language-detection
Classification of Offensive tweets, part of OffensEval 2019 Competition.
This project helps social media moderators and content platforms automatically detect and categorize offensive language in tweets. It takes raw tweet text as input and identifies if it's offensive, what type of offense it is, and who or what the target of the offense is. It's designed for anyone managing online communities or needing to filter harmful content on social media.
No commits in the last 6 months.
Use this if you need to automatically identify, categorize, and target offensive language within social media text, particularly for moderation or content filtering.
Not ideal if you need to detect subtle forms of hate speech or sarcasm, or if your primary data source is not short-form social media text.
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Apr 04, 2019
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