Customer Sentiment Based Online Grocery Recommendation Engine

Globally, the Internet is the most effective component. Could an individual create a mental picture of buying groceries online and preferring to shop online? Web technology makes everything possible. According to a survey by Spic-and-Span, people are more likely to opt for online grocery searches than physical ones. This has had an impact on the industry enterprise, and because of this, the use of the latest devices to know ways has skyrocketed. The sentiment analysis of reviews, yet because of the product recommendation device, changing the way individuals maintain their online presence.. However, it is not the entire analysis, one could additionally get a great thought of the merchandise. During this analysis, we tend to confirm sentiment analysis. In terms of quantify ability, availability, and speed of knowledge acquisition, we found thatour proposed NLP technique is better than previous methods. Consequently, we suggest that this NLP technique could improve the quality, availability, and speed of knowledge seriesin real-time merchandise purchasin