Eviyanty Purba
Universitas Methodist Indonesia, Faculty Of Economy,Medan, Indonesia

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Cluster Analysis of Online Shop Product Reviews Using K-Means Clustering Rena Nainggolan; Eviyanty Purba
IJEBD (International Journal of Entrepreneurship and Business Development) Vol 3 No 2 (2020): March 2020
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (331.095 KB) | DOI: 10.29138/ijebd.v3i02.977

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