The goal of this project was to leverage social media to map disasters. In this repo, you will find the following:
- Code to use Twitter API (https://github.com/belencito27/Map_Disasters_Twitter/blob/master/Twitter%20Scrape.ipynb),
- Code to our Word2Vec and Map (https://github.com/belencito27/Map_Disasters_Twitter/blob/master/Word2Vect_final%20(1).ipynb),
- A presentation on our work (https://github.com/belencito27/Map_Disasters_Twitter/blob/master/SOCIAL_MEDIA_MAP_PRESENTATION-compressed%20(1).pdf), and
- Summary of our project (https://github.com/belencito27/Map_Disasters_Twitter/blob/master/Project_5_writeup.pdf).
- You can download the pre-trained vectors trained on part of Google News dataset (about 100 billion words) from the following link https://drive.google.com/file/d/0B7XkCwpI5KDYNlNUTTlSS21pQmM/edit
This project was developed by:
- Belén Sánchez (https://www.linkedin.com/in/belen-sanchezh/),
- Ryan Stewart(https://www.linkedin.com/in/rylativity/),
- Hakob Avjyan (https://www.linkedin.com/in/hakob-avjyan-7275a895/), and
- Jonathan Slapnik(https://www.linkedin.com/in/jonathanslapnik/),
as part of the Data Science Immersive program with General Assembly in October 2018.