manishshettym/Offensive-Text-Detection
Detect offensive (Racist, Sexist etc.) text from social media posts (tweets) using #NLProc and sentiment analysis
This tool helps social media managers and community moderators identify and filter out offensive content, such as racist or sexist remarks, from social media posts like tweets. It takes in raw text from these posts and flags the specific content that is deemed offensive, allowing for quicker moderation and content review. This is ideal for anyone managing online communities or social media presence.
No commits in the last 6 months.
Use this if you need to automatically detect and flag harmful or inappropriate language in user-generated text on social media platforms.
Not ideal if you are looking for a tool to analyze nuanced sentiment beyond offensive content or to process text from highly specialized domains outside of general social media discussions.
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Language
Jupyter Notebook
License
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Last pushed
Dec 06, 2020
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