Classification of E-News

Abstract

Text Mining is the task of understanding statistics from a set of texts and for example in today’s time various people see news online. This online news includes entertainment, sports and other general categories. While seeing news people give reviews according to their perception. They give reviews which will help other people to see towards these reviews. Current project is based on studying the reviews on e-news. Content Mining is the utilization of mechanized strategies for understanding the information accessible in the content archives. Text Mining is sketched in a way to assist the business find out essential knowledge from text based content. With the help of lexical approach tokenize the reviews. Identify the positive and negative reviews. This mined information will provide better view regarding the total reviews. Rather than studying all the individual reviews, it will be much better to have collective analysis by automated tool. Each time accuracy is measured while identifying the positive and negative words.