ABSTRACT:Internet is fast growing and global system, which is most reliable and efficient. Now a day's social networking is increased due to which interaction of people with each other and share emotions, feedback, views, experiences, opinion and feedback about anything. Also the use of shopping sites i.e. online shopping is increasing tremendously and customers used to give their reviews and feedbacks, which are most important for buying or selling any product. But being as a customer it is difficult to read number of reviews every time while shopping. It leads to create confusion. So the technique which plays an important role in opinion mining and summering reviews of customer is data mining. Some existing techniques for opinion mining show only positive and negative comments from the customer reviews which is not efficient. The main aim of this article is to give an overall idea about the work done in past and about the proposed work.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.