An effective Chinese short message texts clustering algorithm based on the ward´s method

Short message texts have taken an important role in modern society in China. Because of the problems on word segmentation and term extraction in Chinese text classification along with the characters of short message text themselves, it is necessary to explore some new approach to classify short message. In this article, a new methodology named DBS is proposed to classify short message texts based on the ward´s method. Experiments show that it´s an effective algorithm in Chinese short message texts classification.