This project is based on Sentiment Analysis tutorial by Andrew Trask, a Phd student at the university of Oxford and the author of the book Grokking Deep Learning.
This project is separated in 6 sections:
- Correlate the words to labels (Quick Theory Validation)
- Creating the Input/Output Data
- Building the Neural Network
- Reducing the noise in the input data
- Improving the efficiency of the network
- Further noise reduction
- NumPy
- Matplotlib (optional)
- Scikit-learn (optional)
- Bokeh (optional / deprecated - may cause some problem with notebook)