Ranking Analysis for Online Customer Reviews of Products Using Opinion Mining with Clustering
Joint Authors
Pinheiro, Placido Rogerio
de Albuquerque, Victor H. C.
Lakshmanaprabu, S. K.
Shankar, K.
Gupta, Deepak
Khanna, Ashish
Rodrigues, Joel J. P. C.
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Sites for web-based shopping are winding up increasingly famous these days.
Organizations are anxious to think about their client purchasing conduct to build their item deal.
Internet shopping is a method for powerful exchange among cash and merchandise which is finished by end clients without investing a huge energy spam.
The goal of this paper is to dissect the high-recommendation web-based business sites with the help of a collection strategy and a swarm-based improvement system.
At first, the client surveys of the items from web-based business locales with a few features were gathered and, afterward, a fuzzy c-means (FCM) grouping strategy to group the features for a less demanding procedure was utilized.
Also, the novelty of this work—the Dragonfly Algorithm (DA)—recognizes ideal features of the items in sites, and an advanced ideal feature-based positioning procedure will be directed to discover, at long last, which web-based business webpage is best and easy to understand.
From the execution, the outcomes demonstrate the greatest exactness rate, that is, 94.56% compared with existing methods.
American Psychological Association (APA)
Lakshmanaprabu, S. K.& Shankar, K.& Gupta, Deepak& Khanna, Ashish& Rodrigues, Joel J. P. C.& Pinheiro, Placido Rogerio…[et al.]. 2018. Ranking Analysis for Online Customer Reviews of Products Using Opinion Mining with Clustering. Complexity،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1133670
Modern Language Association (MLA)
Lakshmanaprabu, S. K.…[et al.]. Ranking Analysis for Online Customer Reviews of Products Using Opinion Mining with Clustering. Complexity No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1133670
American Medical Association (AMA)
Lakshmanaprabu, S. K.& Shankar, K.& Gupta, Deepak& Khanna, Ashish& Rodrigues, Joel J. P. C.& Pinheiro, Placido Rogerio…[et al.]. Ranking Analysis for Online Customer Reviews of Products Using Opinion Mining with Clustering. Complexity. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1133670
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133670