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Predicting-disaster-tweets

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Social media platforms like Twitter are key sources of information during disasters, but sorting relevant tweets is challenging. In this project, I used machine learning to classify tweets as disaster-related or not, applying models like RNNs, BiLSTMs, GRUs, and ALBERT on a Kaggle dataset labeled for disaster content.

Creat2024-10-13T01:42:24
Update2024-10-13T02:06:07
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