Given a collection of survey comments evaluating an E-learning system, the text mining technique is applied to discovering and extracting knowledge from the comments. The purpose is to categorize the comments into several groups in an attempt to identify key criticisms or praises from students using the E-learning system. This study is able to assist the evaluators of the E-learning system to obtain the summarized key terms of major "concerns" without going through potentially huge amount of survey data.