Machine Learning Applications in Azure for Enhanced E-commerce Customer Sentiment Analysis

This study performs both qualitative and quantitative examination of sentiment analysis applied to the E-Commerce platforms with machine learning technologies being the main component which are run on Microsoft Azure cloud Through a high focus on customers’ emotional targets and feedback, it is assumed that this study will follow the effects of sentiment analysis on e-commerce businesses in general. According to our analysis from the leading e-commerce A-to-Z and grocery companies in India for the past three years through the power of machine learning on Azure we are able to weave intelligence into your solutions. The work describes the final research that globalizes sentiment analysis in the process of preceding customers’ interaction. Moreover, another point of discussion revolves around possibility of the advantages, including weaknesses, that come from conducting reviews of online customers. The research which encompasses this provides the significant contribution on exploiting machine learning for doing the improvement of e-commerce experience with the in depth analysis of sentiment.