Paper Details

Now-a-days, after purchase of any product, customer gives review in terms of Opinions and it plays a vitalrole. Today’s customers consider other individuals’ opinions while purchasing a new product. And After purchase of anew 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 andobserve customer trends and demands to make certain decision of their products, support and services. Decision is verycrucial for E- Commerce, Online shopping and tourism to analyse bulky social data present on the web. So, it is verymuch important to create methods that automatically classify them and help us to take decision instantly. SentimentAnalysis, reviews, views, ratings, emotions and opinions are also considered in analysis of Opinion Mining from text, bigdata and speech by using various methods. In this thesis, we are going to see how mining algorithm can be used toanalyse the reviews posted by the online customers considering their reviews, ratings etc. Our main goal is to create asystem for quicker analysis of opinions which foster judgment and decision making capabilities of different consumerproducts, support and services.

Ankit Nagesh Limkar, “Decision Making Using Opinion Mining Considering Resources of Customer Evaluation”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 2, pp. 19-22, February 2017.