Product Aspect Ranking Using Sentimental Analysis

There are thousands of products in the market. Every product has an aspect, and some of these aspects of a product are important and some can be ignored, and these important aspect of an product plays a vital role in making decisions so as to buy the product or not, Therefore, identifying these important aspects of a product and ranking them according to there importance and significance considering customer reviews helps to take a firm and better decision. This paper gives an explanation of one of the technique that is Naive Bayes Classifier for identification of the product aspects and its classification. This paper explains how to identify an aspect and to rank them in such a way that the customers find it easy to buy the product. These aspects are identified using (a)Vital aspects generally commented by a lot of customers (b) And there views on how these aspects greatly influence the product.