IJEBD (International Journal Of Entrepreneurship And Business Development)
Vol 3 No 2 (2020): March 2020

Cluster Analysis of Online Shop Product Reviews Using K-Means Clustering

Rena Nainggolan (Universitas Methodist Indonesia)
Eviyanty Purba (Universitas Methodist Indonesia, Faculty Of Economy,Medan, Indonesia)



Article Info

Publish Date
30 Mar 2020

Abstract

Purpose:This research aims to mine review data on one of the e-commerce sites which ultimately produces clusters using the K-Means Clustering algorithm that can help potential customers to make a decision before deciding to buy a product or service. Design/methodology/approach: By using Octoparse we mine opinion or comment data in the form of customer online reviews, after getting the data we group the data using the k-emans clustering methode to obtain cluster Findings: Cluster Analysys can can help potential customers to make a decision before deciding to buy a product or service Research limitations/implications: WWW.Lazada.Com Practical implications: State your implication here. Originality/value: Paper type: This paper can be categorized as case study paper

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Journal Info

Abbrev

ijebd

Publisher

Subject

Economics, Econometrics & Finance

Description

Focus and Scope IJEBD International Journal of Entrepreneurship and Business Development is an international, peer-reviewed journal publishing articles on all aspects of Entrepreneurship and Business Development. All accepted articles will be published on payment of an article-processing charge, and ...