ABSTRACT
Many consumer reviews of different products are now available on the Internet. Consumer reviews are vital for both firms and users. Reviews contain opinions on various aspects of a product which is helpful for future buyers. Few aspects are more vital than the others, and have more prominent effect on the consequent purchasers’ preference of purchasing an item and firms’ strategy to make enhancements in that item and increase sale of that item. Differentiating vital aspects of an item can improve the ease of using various reviews and is helpful for consumers and firms. However, the reviews are often muddled, leading to problems in recognizing important aspects and fetching knowledge from it. This paper surveys product aspect identification and ranking frameworks, which tries to automatically identify the important aspects of products from online consumer reviews and rank them according to some specified criteria, with aim of improving the usability of the numerous reviews.
