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Disaster Tweet Classification

This project is a part of the disaster tweet kaggle competition: https://www.kaggle.com/c/nlp-getting-started

-- Project Status: Completed

Project Intro/Objective

Twitter has become an important communication channel in times of emergency. The ubiquitousness of smartphones enables people to announce an emergency they’re observing in real-time. Because of this, more agencies are interested in programatically monitoring Twitter (i.e. disaster relief organizations and news agencies).

But, it’s not always clear whether a person’s words are actually announcing a disaster.

Methods Used

  • Inferential Statistics
  • Machine Learning
  • Data Visualization

Technologies

  • Python
  • Pandas, jupyter

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Classification work between real and fake disaster tweets

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