Within the "FINAL" folder, there is a folder called "LSTM". Within the "LSTM" folder, there is a "notebooks" folder. Use the "LSTM_Model_Maker" notebook in the "notebooks" folder to create the LSTM classifier, otherwise the app won't work properly.

The LSTM classifier is simply too large even for LFS to push to the repo, hence the necessity of creating it from the provided notebook yourself in order to make the app run as it should. Note that you'll need to be in the top level of the working directory (cd back into "FINAL") to run "app.py" and activate the app in your local server.

Based on work done by Davidson, et al. (2017), as detailed in their paper.

Our presentation of our findings can be found here.