A review on text based emotion recognition system

Abstract

With development of Internet and Natural Language processing, use of regional languages is also grown for communication. Sentiment Analysis is natural language processing task that mine information from various text forms such as blogs, reviews and classify them on basis of polarity. Sentiment analysis is a sub-domain of opinion mining where the analysis is focused on the extraction of emotions and opinions of the people towards a particular topic from a structured, semi-structured or unstructured textual data. In this paper, we try to focus our task of sentiment analysis on text data. We examine the sentiment expression to classify the polarity of the text review on a scale of negative to positive and perform feature extraction and ranking and use these features to train our classifier to classify the text data into its correct label.