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In meteorological teaching, in order to improve the teaching efficiency, the content classification is of much signification. After content classification, the teachers can give the detailed and better teaching plans to the students. On the other hand, these classified content can be employed for the students selection of excellent ones. In this paper, we proposed a Baysian model based meteorological content classification. We classify the meteorological content into three classes. And through the experimental comparison with the students’, our method is efficient for the meteorological content automatical classification. Keywords—Meteorological content classification; Meteorological teaching; Bayesian classification

The Content Classification via Bayesian Model in Meteorological Teaching