The Covid-19 has resulted in universities shut all across the world. Globally, over 100 million college students are out of classroom. As a result, education has changed dramatically, with the distinctive rise of Learning Management System (LMS), whereby teaching is undertaken remotely and on digital platforms. Research suggests that online learning has been shown to increase retention of information, and take less time, meaning the changes coronavirus have caused might be here to stay. As online learning has gone mainstream, it has never been more important to choose an educational LMS tailored to institution’s mission and goals. Nowadays, the age of Internet has changed the way people express their views, opinions. Through the online communities, we get an interactive media where consumers inform and influence others. Sentiment analysis can classify the polarity of the text in sentences or documents to see whether the opinion on the sentences or documents are positive or negative. This research focuses mainly on sentiment analysis of user preferences on Google Classroom data using Improved K-Nearest Neighbor method which is helpful to classify opinions in text into positive or negative categories.