KNOWLEDGE-BASED SYSTEMS, cilt.24, ss.58-65, 2011 (SCI-Expanded)
Due to the rapid growth of free text documents available in digital form, efficient techniques of automatic categorization are of great importance. In this paper, we present an efficient rule-based method for categorizing free text documents. The contributions of this research are the formation of lexical syntactic patterns as basic classification features, a categorization framework that addresses the problem of classifying free text with minimal label description, and an efficient learning algorithm in terms of time complexity and F-measure. The framework of ROLEX-SP concentrates on capturing the correct classes of text as well as reducing classification errors.