Run tweetParser.py with arguments of (top cutoff for adding words to sentiment list ), 
(what percentage of tweets word needs to be in), (rounds of learning)

ip_tweets.txt, (iphone tweets)
ev_tweets.txt, (evo tweets)
and wn_tweets.txt (windows phone tweets)
all have tweets and their score saved.

sentmtListsm.txt is start sentiment word list
End sentiment is is in newparser.txt

enhancer words in sentEnhancers.txt

It uses tweets in /scratch/nschult1/prunedTweets.txt