Evaluating Customer Segmentation Efficiency via Sentiment Analysis: An E-Commerce Case Study

Understanding and efficiently utilizing client sentiment stands as a crucial pillar for achieving company excellence in today’s constantly changing e-commerce landscape. We present a thorough framework for modeling sentiment analysis that is specially designed for the dynamic e-commerce market. We reveal a tremendous synergy that has the potential to completely change the industry by leveraging the capabilities of Natural Language Processing (NLP) in conjunction with customer feedback. By acknowledging how important customer reviews is in determining how successful e-commerce businesses are. With the aid of cutting-edge NLP techniques, we negotiate the complexities of sentiment analysis. Using the strength of NLP-enhanced customer evaluations, this study offers a solid foundation for modeling sentiment analysis within the e-commerce environment. It underscores the practical utility of sentiment analysis and its potential to drive positive transformations in the e-commerce industry.