The purpose of this research is to assess the student sentiments from student evaluations. Student written comments in student evaluations from a midwestern university are analyzed using text mining software. Sentiments and themes are discovered that can be used to improve teaching effectiveness. Analysis shows noteworthy sentiment differences across courses and students. There are major differences in the sentiments between graduate and undergraduate students. Within the undergraduate students, the sentiments also varied from freshmen to senior students. The nature of course also has an effect on student sentiments, particularly in hybrid and online courses. Practical implications of this research are also discussed.