Revolutionizing Customer Interaction: NLP-Powered Virtual Shopping Assistants and Sentiment Analysis in E-commerce

Dattatray G. Takale

doi:10.48001/jofsn.2024.221-5

Authors

Dattatray G. Takale Assistant Professor, Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India

DOI:

https://doi.org/10.48001/jofsn.2024.221-5

Keywords:

Customer interaction, Customer satisfaction, E-commerce, Natural Language Processing (NLP), Sentiment analysis, Transformative technology

Abstract

The title of the research article investigates the revolutionary influence that Natural Language Processing (NLP) and sentiment analysis have had on the interactions that customers have with businesses that are involved in e-commerce. Among the primary goals are the investigation of the applications of natural language processing (NLP) in the powering of virtual shopping assistants and the evaluation of the relevance of sentiment analysis in comprehending the level of customer pleasure. An in-depth assessment of the current literature, case studies of successful implementations, and an analysis of customer evaluations and attitudes are all components of the technique. The results highlight the critical role that natural language processing plays in the enhancement of virtual shopping assistants, the improvement of product suggestions, and the simplification of the process of making a purchase choice. Additionally, sentiment analysis is essential for determining the feelings and feedback of customers, which in turn influences the strategic decisions that are made by organisations that deal in e-commerce enterprises.

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