Main Article Content
Abstract
Sentiment Analysis is system to identify and categorizing evaluations uttered in a piece of textual content, especially for you to decide whether the writer's attitude toward a selected subject matter or product is tremendous, poor, or neutral. With the growing use of micro blogging web sites which includes Twitter, Facebook and different social media, each day quite a few evaluations are being made available online. These opinions might be of a product, film or it may be an independent statement describing a scenario. Sentiment analysis is for this reason used to categorise these statements as a fantastic one or a bad one. There are various advantages of Sentiment Analysis. It makes the user privy to the diverse tremendous and negative functions of any product. This work presents comparison among C4.5 and random forest algorithm on the basis of various parameters.