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disaster-management

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IDRISI is the largest-scale publicly-available Twitter Location Mention Prediction (LMP) datasets, in both English and Arabic languages. It contains 41 disaster events of different types (e.g., floods, fires). Annotations include tagged LMs in posts, location types (e.g., cities, streets), links to OSM toponyms, & usefulness of features for LMD.

  • Updated Jan 23, 2024
  • Jupyter Notebook

The project consists of developing a solution around the problem of Disaster Management. It involves complete assurance that the resources are carefully distributed to the people of the disaster hit region. It leads to a seamless network between all the third parties by bringing all the organisation on to the same network.

  • Updated Nov 27, 2018
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This Project is a part of Data Science Nanodegree Program by Udacity in collaboration with Figure Eight. The initial dataset contains pre-labelled tweet and messages from real-life disasters. The aim of this project is to build a Natural Language Processing tool that categorize messages.

  • Updated May 14, 2020
  • Jupyter Notebook

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