ROLEX-SP: Rules of lexical syntactic patterns for free text categorization

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.We performed experiments in order to evaluate the proposed method and compare our work with state-of-the-art methods in domain specific source of knowledge. The results indicate that ROLEX-SP outperforms other methods in terms of standard F-measure in medical domain because of the strong definition of MeSH description of medical categories.