Product Aspect Identification and Ranking System
Ranjana Rajesh Badre, Mayura Kinikar · 2015
Online retail is growing by leaps and bounds. Many retail websites and forum websites contain thousands of customer reviews about various product expressing their opinion on various aspects of product . These reviews are rich in knowledge but are disorganize creating problem in information navigation and knowledge acquisition . to address this problem this paper proposes a system to automatically identify important aspects of products from online reviews . aspect ranking algorithm is proposed using the concept TFIDF associated with occurrence probability of opinionated words for calculation of weight of aspects. This algorithm is experimented using product review dataset to show the effectiveness of the ranking approach. The scope of the proposed system is to organize the consumer review in appropriate way so that the product promotion can be done effectively based on reviews. Use of internet and e-commerce is growing very rapidly. Many products are available online. Most of the retail Websites encourages consumers to write their feedbacks about products to express their opinions on various aspects of the products. This gives rise to huge collection of reviews on web. These reviews contain rich and valuable knowledge and have become an important resource for both consumers and firms. Consumers commonly look for quality information from online reviews before buying a product and firms can use these reviews as feedback for better product development, consumer relationship management and for the development of new marketing strategies. A product may have hundreds of aspects. Some of the product aspects are more important than the others and have strong influence on the eventual consumer's decision making as well as firm's product development strategies. Identification of important product aspects become necessary as both consumers and firms are benefited by this. Consumers can easily make purchasing decision by paying attention to the important aspects as well as firms can focus on improving the quality of these aspects and thus enhance