  Sentiment Analysis aims to get the underlying viewpoint of the text, which
could be anything that holds a subjective opinion, such as an online review,
Movie rating, Comments on Blog posts etc. This paper presents a novel approach
that classify text in two-dimensional Emotional space, based on the sentiments
of the author. The approach uses existing lexical resources to extract feature
set, which is trained using Supervised Learning techniques.
