Development of textual analysis using machine learning to improve the sentiment classification

Abstract

Rapid development in Internet and the increase in online information, the technology demanded for intelligently classifying the textual data has become significant role in Information Retrieval Process. Based on given query in the search box, the response from the internet has made open to the public. Thus, the scope of text mining is being explored by several researchers. Sentiment Analysis is one of the most popular process for analysing user opinions and feelings, and since, online communication has become the fast ever growing medium for expressing thoughts, therefore, there have been development in text classification to improve sentiment analysis. In this paper, some of the prior works on sentiment analysis and the advancements in text classification have been discussed.