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Ranking English Apps From the Google Play Store Based on Customer Reviews Analysis

Author

Listed:
  • Ha Nguyen

    (Independent Researcher, Vietnam)

  • Phan Dinh Quyet

    (Thuongmai University, Vietnam)

Abstract

Nowadays, several educational technology and English learning apps on the Google Play Store cater to various learning levels and objectives. However, the parents had difficulty finding an appropriate app for their kids. It is challenging when there is a diversity of English learning apps in the market. Not only product brands but also prices affect the customer‘s choice behavior. A good product will achieve customer satisfaction. And the praise of experienced customers will be a suggestion for potential customers. This paper uses sentiment analysis as a factor of criteria set for evaluating English learning Apps from Vietnamese companies. The Python language was used in all the analysis processes, and the sentiment score of 8,756 reviews for English learning apps was calculated. The criteria to evaluate the App include overall rating, sentiment scores, and number of downloads. The results will be a suggestion for improving the quality of companies‘ products and a recommendation for users when choosing a suitable Edtech product.

Suggested Citation

  • Ha Nguyen & Phan Dinh Quyet, 2024. "Ranking English Apps From the Google Play Store Based on Customer Reviews Analysis," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 15(1), pages 1-18, January.
    • Handle: RePEc:igg:jabim0:v:15:y:2024:i:1:p:1-18
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