Application of content classification based on intelligent clustering

Intelligent clustering-based classification of the content is mainly studied in this paper in order to classify the text content automatically. A method of the content classification is proposed based on intelligent clustering theory, A hybrid solution is proposed for building and populating a taxonomy structure by combining human knowledge with the techniques of neural network. The self-organizing neural network-based learning algorithm is designed and implemented to classify the content. The system of intelligent clustering-based content classification is designed and the application of intelligent clustering-based content classification is also studied.