nblearn.py - is a program that trains on the training data to create the Naive Bayes model.

• It obtains the directory that contains all the training data from the command line and reads all the files in the directory under the 4 categories "Positive", "Negative", "Deceptive" and "Truthful".
• It outputs the model's parameters into an output file(nbmodel.txt).

nbclassify.py - is a program that reads the output file created by nblearn.py, and uses the model to classify the new unseen test data present in unknown categories.

The output is a labelling of each new .txt file into

1. "Positive" or "Negative"
2. "Truthful" or "Deceptive"