  Sentiment analysis is a new area in text analytics where it focuses on the
analysis and understanding of the emotions from the text patterns. This new
form of analysis has been widely adopted in customer relation management
especially in the context of complaint management. With increasing level of
interest in this technology, more and more companies are adopting it and using
it to champion their marketing efforts. However, sentiment analysis using
twitter has remained extremely difficult to manage due to the sampling bias. In
this paper, we will discuss about the application of using reweighting
techniques in conjunction with online sentiment divisions to predict the vote
percentage that individual candidate will receive. There will be in depth
discussion about the various aspects using sentiment analysis to predict
outcomes as well as the potential pitfalls in the estimation due to the
anonymous nature of the internet.
