Update sentiment_scoring.py

Added lemmatization to try to normalize location field (bad city/state names).  From top features created a set of dummy indicators based on presence of term in actual tweet. Then using that to create a Linear Regression model; retweet count being the focus....TO DO. Use feature extraction and take bigrams and put into classifiers for actual sentiment, based on manual coding.