In the reddit-cnn-2.py file, we put the comments of Reddit users into a dataframe and "cleaned" the comments for our use. This dataframe contains the comment text and the depression status of the commenter which was gathered based off of the DSM-5 criteria from our survey. With this data, we use Tensorflow software and Natural Language Processing techniques to train a Convulational Neural Network to detect depression. This model is stored in the reddit-cnn-2.zip file.
-31.47%Accuracy: 61.64%
Loss: 0.3713
-0.65%Accuracy: 92.46%
Loss: 0.2267
+0.00%Accuracy: 93.11%
Loss: 0.2510
+0.00%Accuracy: 95.50% Loss: 0.1547