Identifying and Analyzing Product Aspects with Priorities and Its Applications
- K.Nagendra Babu
- Mr.L.N.B. Srinivas
Product aspect identification, sentiment classification, consumer review, false detection, undefined state.
Numerous consumer reviews of products are now available on the Internet. Consumer reviews contain rich and valuable knowledge for both firms and users. In this paper we propose a product aspect ranking framework, which automatically identifies the important aspects of products from online consumer reviews, aiming at improving the usability of the numerous reviews. The important product aspects are identified based on two observations: 1) the important aspects are usually commented on by a large number of consumers and 2) consumer opinions on the important aspects greatly influence their overall opinions on the product. In particular, given the consumer reviews of a product, in this paper we determine consumer opinions on these aspects via a sentiment classifier. We then develop a probabilistic aspect ranking algorithm to infer the importance of aspects by simultaneously considering aspect frequency and the influence of consumer opinions given to each aspect over their overall opinions, it then identifies the false presence of the aspects in the categories and also identifies the undefined aspects, setting the priorities of the aspects in order to find the effectiveness of the product
K.Nagendra Babu, Mr.L.N.B. Srinivas. "Identifying and Analyzing Product Aspects with Priorities and Its Applications".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 2, pp.81-84, URL :https://rjwave.org/ijedr/papers/IJEDR1502016.pdf
Volume 3 Issue 2
Pages. 81-84
