Restaurant Recommendation Using Sentiment Analysis Ml

Restaurant Recommendation using Sentiment Analysis ML

Abstract:-

Sentiment Analysis can be used to quickly analyze the text of research papers, news articles, social media posts like tweets and more. In this project, we uses sentiment analysis with machine learning. Machine Learning is a sub-area of artificial intelligence, whereby the term refers to the ability of IT systems to independently find solutions to problems by recognizing patterns in databases. By using this machine learning we are going to develop the restaurant recommendation using sentiment analysis by modern consumers, we greatly benefit from restaurant recommendation applications.A restaurant is a place where cooked food is sold to the public, and where people sit down to eat it. It is also a place where people go to enjoy the time and to eat a meal. When users search about a restaurant food items, it will provide frequent and related food items. By using this we can get all data about the particular food items. It provides users to easily select to their food and related food items. It shows food items frequently. It saves time for the users, by using it users can easily select the food item they need to order and easily select the frequent food items. This system is useful for users so that they can easily access the food items.