sidneykung/twitter_hate_speech_detection
Capstone project to automate Twitter hate speech detection with classification modeling.
This project helps social media platforms and content moderation teams automatically identify hate speech in Twitter posts. It takes raw Twitter text as input and classifies it as either 'hate speech' or 'not hate speech', aiming to reduce the burden on human moderators. An ideal user is a content moderator, social media manager, or platform administrator concerned with maintaining a safe online environment.
No commits in the last 6 months.
Use this if you need an initial, automated filter for potentially hateful content on Twitter to assist human moderation efforts.
Not ideal if you require a highly accurate, nuanced system for identifying all forms of hate speech, especially those relying on subtle slang and context, without human oversight.
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Last pushed
May 17, 2021
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