Update twitterSA, add stopwords list

Improved production classifier, extra preprocessing steps (esp
        stopwords)
Add scipy, nltk_data, update dependencies

This is dependent on the custom buildpack url

nltk_data allows us to use local copies of the corpus data when deploying to
Heroku
Change sentiment scale to -0.5 to 0.5

Since I normalize individual pos/neg probabilities to that scale