Software system classification of unstructured data based on support vector method

This work is devoted to the development of an information retrieval model, which allows the best way to make the process automatic classification of unstructured data. The urgency of developing a model of information retrieval is cansed due to the need for timely analysis of the large data flows at different administrative structures. The significance of these results is that the developed model of information retrieval improves search efficiency of unstructured data in the public domain. The results can be used in organizations and enterprises dealing with large flows of information.