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Developed a machine learning model to assess the authenticity of disaster-related tweets, with a focus on improving crisis response and management.

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Natural Language Processing with Disaster tweets

Overview

This repository is created for the Kaggle "Twitter Disaster Detection" competition. The competition's goal is to build a machine learning model that predicts whether tweets are about real disasters or not. Twitter has become a crucial communication channel during emergencies, and this competition aims to programmatically monitor and classify tweets for disaster relief organizations and news agencies.

Acknowledgments

  • The dataset for this competition was originally created by the company Figure Eight and shared on their 'Data For Everyone' website here.

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About

Developed a machine learning model to assess the authenticity of disaster-related tweets, with a focus on improving crisis response and management.

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