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Currently, there are many classification systems. Broadly speaking, these systems fall into two main categories. These are binary and multiclass systems. Binary classification systems are only concerned with classifying files into two chief categories or groups. Classification systems of this type are used to distinguish between just two classes of items. As Maranis and Bebenko (2009) describe, these systems offer Yes/No response to the question: Does this record belong to category X? Inside this, such systems may be beneficial in classifying mails where they are categorized whether spam or not, or commercial transactions where they are determined to be fraudulent or not. In such programs, it is more possible and easier to use binary options as we have only two courses or classes. Multiclass systems, then, split documents into two classes or longer. As the name suggests, these classifiers assign every document or information point to one of many courses where each has another subject area. Newspaper accounts, for instance, can be categorized under different categories like news, sport, culture, business Justo and Torres, 2005). Linguistic techniques are based on natural language processing methods. Methods of the type generally involve morphological and syntactic procedures for expressing meaning and identifying connections within files. Mathematical and statistical classificatio...