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Stance Detection baseline

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.

Requirements

Python 2.7

Installation

Make sure to use the Python 2.7 version of all commands (python and pip)

git clone git@github.com:StanceDetection/stance_detection.git \
&& cd stance_detection \
&& pip install -r requirements.txt

Running

python stance_detection.py

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An NLP model to classify the relative stance of two bodies of text.

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