The Sixth Conference on Natural Language Processing and Chinese Computing (NLPCC 2017)

1 / 2017-06-03 16:49:42

Review of the Tibetan Text Clustering

Tibetan text; Clustering; Model; Natural Language Processing

Tibetan text clustering is an important branch of Natural Language Processing. As an ancient language, Tibetan language has its own unique rules and characteristics. With the popularity of the Internet, Tibetan users on the Internet have increased rapidly, and more and more Tibetan texts have appeared on the internet. Using Tibetan text clustering to provide more efficient management and better user experience has become a hot topic in recent years. This paper discusses the application background and related concepts of the Tibetan text clustering firstly, and then introduces the characteristics of Tibetan text processing and general preprocessing methods, then it introduces the Tibetan text modeling and clustering algorithms, after that the development of Tibetan clustering and application status are summarized, finally the problems of the Tibetan text clustering existing in the present stage is proposed.