Visualization Of E-Commerce Reviews Using Opinion Mining
| Author(s) | : | Ms.VinitaM.Rathi, Prof.Harsha R. Vyawahare |
| Institution | : | M.E. Scholar, Department of Computer science, Sipna College of Engineering & Technology, Amravati. |
| Published In | : | Vol. 4, Issue 7 — July 2017 |
| Page No. | : | 206-209 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
An important part of our information-gathering behavior is always been to find out what other people think.With the growing availability and popularity in opinion-rich resources such as online review sites and personal blogs, newopportunities and challenges arise as people now can, and do, actively use information technologies to seek out andunderstand the opinions of others. Decision making both on individual and organizational level has always accompanied bythe search of other’s opinion on the same. Now a days several websites encourage users to express and exchange their views,suggestions and opinions related to different product, services, polices, etc. publically. This situation created a new areacalled opinion mining. Opinion mining and sentiment analysis extract and classify the people’s opinion automatically fromthe internet. One of the method for mining the opinions in e-commerce is by using Apriori algorithm. In this study paper, howApriori frequent item set mining algorithm can be used for mining reviews from online reviews which are posted bycustomers is shown.
Ms.VinitaM.Rathi, Prof.Harsha R. Vyawahare, “Visualization Of E-Commerce Reviews Using Opinion Mining”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 7, pp. 206-209, July 2017.
