Abstract
The rapid growth in the area of online food Provider Like Swiggy, Zomato, Uber eats, etc. took the growth of Restaurants and QSR service of India to Massive Revenue Sector. as the Restaurants have moved online So the online Reviews play Significant Role to empower the Business, There is Huge Data size of Reviews on Swiggy , Zomato and Google Reviews So Both the Owners and Potential Customer are Confused How They See this Review as, all platforms Comes with the idea of Stars Rating But They Don't Justified The Sentiments of Customers So we have Come with This Algorithm Which use The Power of Natural Language Processing (NLP) and Machine Learning(ML) to Solve this Problem.
Cite
CITATION STYLE
Ankita Pareek, Kailash Saini, Ayushi Kumari, Kumari Nikita. (2023). Restaurant Review Sentiment Analysis: An Automated Approach to Customer Feedback Analysis. Tuijin Jishu/Journal of Propulsion Technology, 44(1), 107–111. https://doi.org/10.52783/tjjpt.v44.i1.2216
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