APPLYING OPINION MINING TO ORGANIZE WEB OPINIONS

Rapid increase of opinions on the web requires an effectual system to organize opinions. Opinion mining is a realistically plot and demanding field devoted to detect subjective content in text documents. If opinions are non-structured then it’s difficult for customers and organizations to understand. This study proposes an approach focusing on designing a system to organize web opinions at the time when user is posting, before actually being extracted by expertise. New system (Opinion Organization System) provides four stages. In first stage, it provides a list of several product categories and user selects at least one. In second stage, a list of selected product relevant features is displayed to the user. In third stage, user firstly selects features for which wants to express opinions, then uses polarity based P set and N set containing adjective words list and in fourth stage, uses thumb selection table to add opinions.