kurtispykes/twitter-sentiment-analysis
Creating a Gradio user interface to predict the sentiment of a tweet
This tool helps disaster relief organizations and news agencies quickly identify tweets that are actually reporting a real disaster. You input a tweet's text, and it tells you whether the tweet is about a real disaster (1) or not (0). Emergency responders, journalists, and crisis managers can use this to filter signal from noise in real-time social media feeds.
No commits in the last 6 months.
Use this if you need to rapidly assess the urgency of incoming tweets to determine if they are reporting genuine emergencies.
Not ideal if you need to understand the specific type of disaster or the sentiment beyond just 'disaster' or 'not disaster'.
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Language
Jupyter Notebook
License
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Last pushed
Dec 22, 2021
Commits (30d)
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