Abstract: Techniques for classifying electronic text messages include creating a hierarchical list of message categories, composing databases of key terms and sample phrases for each of such categories, and, based on a number and features of the key terms detected in an analyzed text message, determining if the text message is associated with at least one message category of interest. Variants of the key terms or can be produced using fuzzy text objects generation algorithms. Weight factors for the key terms and similarity scores of a text message compared to previously identified sample messages for a particular message category are calculated based on properties of the key terms detected in the text message, such as a frequency of use, location, or appearance in the text message, a number of words in the respective key terms.