Disaster Tweet Classification using NLP and Deep Learning

[Varunshiyam]

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Latest Merged PR Link

PR: #930

Project Description

This project addresses the challenge of classifying tweets as real disaster events or not. It involves natural language processing (NLP) techniques like TF-IDF vectorization and deep learning models such as Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs). The project explores different feature engineering methods, including text length, word count, and hashtag count, to improve classification accuracy. Multiple models are trained and evaluated, with a focus on optimizing performance for real-world disaster response applications.

Full Name

Varunshiyam

Participant Role

Gssoc, hacktoberfest

[github-actions]

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[UTSAVS26]

@Varunshiyam same goes for this and you can raise only 1 issue at a time.

[github-actions]

✅ This issue has been closed. Thank you for your contribution! If you have any further questions or issues, feel free to join our community on Discord to discuss more!