The Significance of Data Mining Applications in Evaluating Customer Reviews in the Context of E-commerce Transactions

  • Pritam Kumar


In this age of digitalization, most people use their smartphones and the internet to shop for not just luxury and convenience items, but also for necessities such as food and medicine. In the wake of the Covid 19 pandemic, businesses embraced e-commerce platforms, and customers opted to make purchases in a secure setting. Feedback from customers is critical for a variety of reasons, including helping to improve marketing and manufacturing methods.  The customer feedback or reviews are evaluated by the organisation with the use of data mining technique or applications. One of the primary goals of this study is to determine the impact of data mining applications in the assessment of customer reviews on e-commerce transactions. The researcher will examine different research papers on certain topics such as data mining applications, e-commerce, contemporary information technology for data science and data mining, and customer reviews in an e-commerce platform, among others. According to the findings of this research, most e-commerce organisations and websites offer information about their goods and services. In addition, they enable users to comment on and record their opinions on different goods and services on the site. Then, with the assistance of data mining tools and technologies, they analyse and summarise the data to make a variety of important decisions or choices regarding products and services.


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How to Cite
KUMAR, Pritam. The Significance of Data Mining Applications in Evaluating Customer Reviews in the Context of E-commerce Transactions. International Journal of Advanced Research in Technology and Innovation, [S.l.], v. 3, n. 3, p. 100-110, oct. 2021. ISSN 2682-8324. Available at: <>. Date accessed: 30 nov. 2021.