NLP to detect hit keywords for SPAM/HAM dataset

[ajwad-shaikh]

Implement NLP to extract keywords from SPAM and HAM corpus.

A frequency vector of these keywords would be a great feature for our model. To make sure, we have keywords specific to SPAM and HAM characteristics of the PR, we decide to do the following.

N = complexity of the model (starting with 30, might change iteratively to achieve better results)

A = Top N keywords list from SPAM dataset
B = Top N keywords list from HAM dataset

SPAM_KEYWORDS = (A - B)
HAM_KEYWORDS = (B - A)

Suggest using multi-rake for rapid keyword extraction from corpus