Restaurant Review Predictionusing Machine Learning and Neural Network


Authors : Tanbin Siddique Eidul; Md.Alim Imran; Amit Kumar Das

Volume/Issue : Volume 7 - 2022, Issue 3 - March

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3OBktJ1

DOI : https://doi.org/10.5281/zenodo.6486696

Nowadays, people often judge which restaurant is good or bad by looking at the rating of the restaurant. That’s why ratings are a critical factor in the restaurant business. Ratings are usually given by people judging by what kind of service restaurants are providing. So, features of restaurants play a very important role in this regard. The main goal of this research is to predict ratings of restaurant business based on features to help new entrepreneurs to set up new business. We used different machine learning algorithms like Decision tree, Support vector machine (SVM), k-nearest neighbors’ algorithm (KNN), Stochastic gradient descent (SGD), Gaussian Naive Bayes. We also used a convolutional neural network (CNN) model here. It gives us an accuracy score of 97.2 25 percent which is higher than all other algorithms.

Keywords : machine learning algorithm, convolutional neural network (CNN).

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