Design and development of classifier system for Gconference.net

This paper is concentrated on design and development of classifier system for Gconference.net. Gconference.net is a unique web resource where users can post information about upcoming events, share their own knowledge and experience regarding their participation in international conferences. The developed system is a classifier for classifying information about academic events data from the academic web sites. Since there is a lot of meta-information in the academic events, thus the data from academic events web sites should be analyzed for classification. During the development of this classifier we have faced multiple obstacles that we have successfully overcome. In this research we have demonstrated the efficiency of the system through a set of experiments concentrating on the techniques of the classifier for Gconference.net.