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Vol 61, Issue 5, [10 - 2020]

Analyzing customer sentiments using K-means algorithm

DOI:10.46326/JMES.KTQTKD2020.19

  • Affiliations:

    Faculty of Economics and Business Administration, Hanoi University of Mining and Geology, Vietnam

  • *Corresponding:
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  • Received: 18th-Aug-2020
  • Revised: 24th-Sept-2020
  • Accepted: 31st-Oct-2020
  • Online: 31st-Oct-2020
Pages: 145 - 150
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Abstract:

Customer segmentation is the process of dividing customers based on common characteristics such as their behavior, buying habits and service usage,... so that companies can market for each group customers more effectively and appropriately. The paper analyzes customer cluster segmentation via the K-Means clustering methods of a business sector. The research was conducted on 272 customers with characteristics of age, income and expense score. The research results are divided into 2 target customer clusters, promising to help care and marketing customers more effectively; Help business units to have appropriate marketing strategies to reduce costs and increase efficiency.

How to Cite
Pham, T.Kien, Nguyen, T.Duc, Le, C.Van and Nguyen, T.Van 2020. Analyzing customer sentiments using K-means algorithm (in Vietnamese). Journal of Mining and Earth Sciences. 61, 5 (Oct, 2020), 145-150. DOI:https://doi.org/10.46326/JMES.KTQTKD2020.19.
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