Sentiment analysis (SA) is the process of identifying and classifying users' opinion from a piece of text into different sentiments. Student's evaluation of teaching is one of the common and necessary measures to assess the teaching quality of course instructors in a college setting. Traditionally, student evaluations are administered towards the end of the semester using a paper-based survey. However, recently online evaluations, such as RateMyProfessor.com (RMP) are becoming popular. This study collected 490 comments of professors in the Computer Science and Software Engineering department at Auburn University that meet the selection criteria from RMP. The research utilized a textBlob Python package to analyze sentiments of students' comments from different class standings. [For the complete volume, "American Association for Adult and Continuing Education Inaugural 2020 Conference Proceedings (Online, October 27-30, 2020)," see ED611534.]