Analyse the performance of restaurant in various branches uisng customer review.
Cleaned the feedback and reviews using Natural Language Processing. Here I am using NLP techniques such as Tokenizer, remove stopwords, count Vectorizer, TFid-Vectorizer to classify the text and then check the polarity score .Extracted Polarity of the feedback using Sentiment Intensity Analyzer. Classified the reviews using the polarity score for Sentiment Extraction. Made multiple Visualization using Exploratory Data Analysis and statistics for understanding the performance of individual restaurants as well as overall global food organizations.Built API’s using Flask, Integrated all the Analysis in a web application and hosted in Global server