From a Dataset of more than 11k Tweets, needs to be cleaned, all the tweets are geolocated on a map, a word cloud is made in order to see the most used words and a model is trained to see the accuracy to predict if a Tweet is a Disaster or not
(On Mac)
- First create your virtual environment with:
python3 -m venv venv
- Then Activate it with:
source venv/bin/activate
- To install the
requirement.txtfiles in order to get all the dependencies, you can do that with:
pip install -r requirements.txt
- run the jupyter notebook to see the files on your browser with:
jupyter notebook
- Find the file
Tweets_Disasters.ipynband open it.