1. A computerized text classifier system, comprising: a pre-processor configured to analyze a text to identify concepts and generate a concept model containing the identified concepts; a knowledge base having a plurality of nodes including a set of learning nodes, each of the learning nodes being provided with statistical information corresponding to a category; and a statistical engine configured to calculate a set of match scores for the concept model by using the knowledge base, each match score of the set of match scores having an associated category with a suggested action and being representative of a relevance of the text to the associated category.