kroudir/Twitter-Sentiment-Analysis-with-python
The objective of this project is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets.
This tool helps social media managers, brand analysts, and community moderators automatically identify tweets containing racist or sexist hate speech. You provide a collection of tweets, and it tells you which ones likely contain hate speech. This enables you to quickly flag and address problematic content.
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Use this if you need to efficiently filter large volumes of tweets to find and manage content that expresses racist or sexist sentiments.
Not ideal if you need to detect hate speech beyond racism and sexism, or if you require nuanced analysis of sentiment for purposes other than identifying harmful content.
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Jul 31, 2019
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