Gradient Emotional Analysis

Abstract

Over the past few years a lot of research has been done on sentiment analysis, however, the emotional analysis, being so subjective, is not a well examined dis-cipline. The main focus of this proposal is to categorize a given sentence in two dimensions - sentiment and arousal. For this purpose two techniques will be com-bined -- Machine Learning approach and Lexicon-based approach. The first di-mension will give the sentiment value -- positive versus negative. This will be re-solved by using Na\" ve Bayes Classifier. The second and more interesting dimen-sion will determine the level of arousal. This will be achieved by evaluation of given a phrase or sentence based on lexi-con with affective ratings for 14 thousand English words.

Tasks

Reproductions