摘要：Most of the data available today are text based. This necessitates developing some methods for their analysis. Becauseinspecting these text is very difficult, even impossible most of the time. Necessity of extracting knowledge from text data has triggeredworks about automatically extracting knowledge out of text data and text classifications methods have emerged. But since text data arenot structural, their analysis are different than traditional machine learning applications.In this study, by selecting a sample from customer comments in a firm’s database, a decision tree model is constructed whichcan assign these comments into complaint-request-acknowledgement classes. Algorithm is based on entropy and knowledge gaincalculations. This way, first attributes -words- that can represent customer comments have extracted and by defining nodes class labels
关键词：Text Classification; Decision Trees Algorithm; Customer Comments; Unstructured Data; Entropy.
