Climate Change Sentiment Analysis

This repository was created as a companion to this article.

Obtaining the Data

The data folder contains labelled tweets based on their sentiment towards climate change:

• 2 - the tweet links to factual news about climate change
• 1 - the tweet supports the belief of man-made climate change
• 0 - the tweet neither supports nor refutes the belief of man-made climate change
• -1 - the tweet does believe in man-made climate change

The Tweepy folder contains a script which can be used to obtain these tweets. Human labour will be needed to label them. To use the script, specify keywords in my_queries.txt (each keyword is separated by newline). Only tweets containing those keywords will be pulled.

Then run in the directory the repo is cloned to: cd data && python twitter_query.py

Building the Model

Download the pre-trained embedding vectors from the Stanford GloVe page and extract it to the repo directory.

wget http://nlp.stanford.edu/data/glove.twitter.27B.zip && unzip glove.twitter.27B.zip

Run the model.py script in a terminal which will train the model, output its weights and also test it against the testing set.

The weights of a trained model is stored in the weights folder.