Title: A simple word counting method for Sentiment Analysis

Abstract
Sentiment analysis consists of determining if a given text, such as a
review, expresses a positive or negative sentiment. In this talk a new
word counting based method of sentiment analysis will be discussed. This
method learns sentiment scores for individual words based on their
frequency in both positive and negative documents, and then uses those
word scores to score and classify documents. Results using this method
will then be compared to those of other methods on a common sentiment
analysis data set of movie reviews, compiled by Pang & Lee (2004).