Abstract:
In the last few years, the Use of social media has
increased immensely. People share different types of opinions
on social media like Facebook posts, comments, tweets etc.
Sentiment analysis involves the process of categorizing these
opinions. The aim of this study, find out the customer’s attitudes
toward the restaurant. Nowadays sentiment review is gaining
grip. The benefits of this sentiment analysis for restaurants is
how customers like their food and as a result, the business
of Bangladeshi restaurants will be more developed. The study
focuses primarily on customers’ behavior, tastes, preferences,
conversations, reviews, and objections. For this purpose 500
data are collected. There are six attributes in the dataset and
based on customer reviews they are satisfied or unsatisfied.
This exploration uses different classifiers of ML to develop
review analysis like SVM, Random Forest, K-nearest neighbors,
Decision Tree, Logistic Regression and XGBoost Classifier. And
Comparing these algorithms’ performances, XGBOOST gives the
greatest accuracy which is 83%.
