Sentiment Analysis on Food-Reviews Dataset

Abstract:

There has been a vast development in the field of the internet, it has led people to express their opinions. It is very important to understand the customer for the successful businesses. Customers express their thoughts in the form of reviews, which can be positive or negative. For successful businesses, it is essential for them to understand a customer and their behavior because it will help them to grow their business more successfully. In this paper, we have proposed sentiment analysis of restaurant review datasets using multinomial naive bayes and logistic regression. This program will help owners quickly determine the customer's sentiments.

• Periodical: Advances in Science and Technology (Volume 124)
• Pages: 305-311
• DOI: https://doi.org/10.4028/p-ddx7i2
• Online since: February 2023
• Authors: R. Deepa, Fardeen Khan*, Harsh Singh, Gundu Jitendra Satya Sai Gupta
• Keywords: Logistic Regression, MultinomialNB, Sentiment Analysis, Stopword, Wordcloud

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