Briiick/NLP-disaster-tweets
Exploring BERT with Kaggle disaster tweets dataset.
This project helps quickly sort incoming tweets to identify which ones are genuinely reporting real-world disasters versus those that are not. It takes tweet text as input and classifies each tweet, helping emergency responders or news organizations prioritize information. The primary user would be someone involved in public safety, crisis communication, or real-time news monitoring.
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Use this if you need to rapidly distinguish between genuine disaster reports and other types of tweets based on their text content.
Not ideal if you require analysis beyond simple classification, such as identifying the specific type of disaster or its location.
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Jun 09, 2024
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