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Sentiment Analysis of Customer Feedback in Online Food Ordering Services

Author

Listed:
  • Nguyen Bang
  • Nguyen Van-Ho
  • Ho Thanh

    (University of Economics and Law, Ho Chi Minh City, Vietnam; Vietnam National University, Ho Chi Minh City, Vietnam)

Abstract

Background: E-commerce websites have been established expressly as useful online communication platforms, which is rather significant. Through them, users can easily perform online transactions such as shopping or ordering food and sharing their experiences or feedback.

Suggested Citation

  • Nguyen Bang & Nguyen Van-Ho & Ho Thanh, 2021. "Sentiment Analysis of Customer Feedback in Online Food Ordering Services," Business Systems Research, Sciendo, vol. 12(2), pages 46-59, December.
    • Handle: RePEc:bit:bsrysr:v:12:y:2021:i:2:p:46-59:n:11
    DOI: 10.2478/bsrj-2021-0018
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    References listed on IDEAS

    as
    1. Mirjana Pejić Bach & Živko Krstić & Sanja Seljan & Lejla Turulja, 2019. "Text Mining for Big Data Analysis in Financial Sector: A Literature Review," Sustainability, MDPI, vol. 11(5), pages 1-27, February.
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    More about this item

    Keywords

    online feedback; food ordering services; Vietnamese sentiment analysis; text analytics;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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