Analyzing Customer Sentiments Using Machine Learning Techniques to Improve Business Performance

In today's digital world, advancement in machine learning has changed the traditional perspective towards business analysis. Orthodox business analysts did not consider customer reviews as cost-effective input for analysis because earlier fetching customer reviews was costly. The emergence of the internet turned the whole world upside down. Now, the customer's sentiment analysis is the new friend of all business analysts. In this paper, we will be doing a comparative study between the two methods. One in which we use usual parameters like average rating, average review counts. In second, we use a text review as a parameter for sentiment classification. The effectiveness of these methods is evaluated, and the optimal model is selected.