Sentiment analysis with Andrew Trask. The main focus of this project is to understand how to create a neural network that can anlyse a review and classify it as bad or good. It is split into several parts:

• curating a data set.
• training a a neural network
• increasinghe signal and reducing the noise in teh data set.

• Download anaconda

conda create --name sentiment_alysis python=3

• Activate the source

source activate sentiment_alysis

• Ensure you have numpy, jupyter notebook, matplotlib, scikit-learn, and bokeh installed by doing the following:

conda install numpy matplotlib  jupyter notebook scikit-learn bokeh

• Run the following to open up the notebook:

jupyter notebook Sentiment\ Classification.ipynb

You can open the jupyter notebook directly in github Sentiment Classification.ipynb