Summarizing and computing Orientation of user reviews using Bayesian Classification
Gaurav Dubey, Ajay Rana, Jayanthi Ranjan · 2013
Abstract: Lots of Information is available on web today regarding the feature of a product. It has become a trend and necessity to explore web and study reviews about a product which gives us lots of information. Product reviews are in the form of text which contains number of opinion about a product, these opinions can be positive, negative or neutral, and studying reviews texts at the document level is useful in many cases. A positive review text on a particular object or product does not mean that the author has positive opinions on every aspect of the product. Likewise, a negative review does not mean that the author dislikes everything about the product. For example, in a product review, the reviewer usually writes both positive and negative aspects of the product, although the general sentiment on the product could be positive or negative. To obtain such detailed aspects, we need to go to the sentence level. This paper explains the model and techniques of extracting features from various user opinions.