Sentiment Analysis using Machine Learning and NLP for Digital Education

In this present days, a higher level of education about various subjects can be acquired through various applications and websites which are known as online educational platforms. That is why digital education has its platform to spread knowledge among people. Each of these application contains individual content along with the user point of view which is usually expressed in the comment section, and those reviews or comments can be processed through the natural language processing. On the other hand, there are numerous machine learning algorithms for evaluating these reviews to find out the best and most user-friendly online educational platform. This paper has considered 6000 reviews which have been collected manually from education-related six applications and classified them by analyzing the feelings of the reviewers. The use of 4-gram with Logistical Regression produced higher accuracy (88%) among five algorithms to classify the reviewer’s comment.