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

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Published Mar 30, 2020
DOI https://doi.org/10.29138/ijebd.v3i02.977

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

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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Vol 3 No 2 (2020): March 2020
Section
Articles
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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