This is a baseline implementation of stance detection for the Fake News Challenge.
The initial objective of this project is to develop a natural language processing model to classify two bodies of text (a headline and article body) as related or unrelated. The model will use a Naive Bayes' classifier.
Python 2.7
Make sure to use the Python 2.7 version of all commands (python and pip)
git clone [email protected]:StanceDetection/stance_detection.git \
&& cd stance_detection \
&& pip install -r requirements.txtpython stance_detection.py