roshancyriacmathew/hate-speech-detection-using-machine-learning
This is a python project that is used to identify hate speech in tweets. The dataset used to train the model is available on Kaggle and consists of labelled tweets where 1 indicates hate speech tweets and 0 indicates non-hate speech tweets.
This helps social media managers and content moderators identify hateful content in Twitter posts. You provide raw tweet data, and it categorizes each tweet as either hate speech or not. This tool is designed for anyone responsible for maintaining a safe and respectful online community on Twitter.
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Use this if you need an automated way to flag potentially problematic tweets from a dataset for further review or action.
Not ideal if you need to detect hate speech on platforms other than Twitter or require real-time, high-precision moderation for live feeds.
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Apr 03, 2022
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