Implements a website using flask that analyze the sentiments of Tweets of a user.
Dr. Minqing Hu and Prof. Bing Liu of the University of Illinois at Chicago have put together lists of 2006 positive words and 4783 negative words.
This sentiment Analyzer is baised simply on whether the word lies in which category, positive or negative. Each word is awarded a score of 1 or -1 or simply 0 if the word is positive, negative or neutral.