Decision Making Using Opinion Mining Considering Resources of Customer Evaluation

Abstract

Now-a-days, after purchase of any product, customer gives review in terms of Opinions and it plays a vital
role. Today’s customers consider other individuals’ opinions while purchasing a new product. And After purchase of a
new product, customers post their opinions in terms of reviews and ratings, for many products through review sites,
blogs, and social networking sites. Corporate sector and large scale business organizations are always keen to find and
observe customer trends and demands to make certain decision of their products, support and services. Decision is very
crucial for E- Commerce, Online shopping and tourism to analyse bulky social data present on the web. So, it is very
much important to create methods that automatically classify them and help us to take decision instantly. Sentiment
Analysis, reviews, views, ratings, emotions and opinions are also considered in analysis of Opinion Mining from text, big
data and speech by using various methods. In this thesis, we are going to see how mining algorithm can be used to
analyse the reviews posted by the online customers considering their reviews, ratings etc. Our main goal is to create a
system for quicker analysis of opinions which foster judgment and decision making capabilities of different consumer
products, support and services.