《诗经》作为实用性乐歌，其文本形态的最后形成受很多因素的影响，比如歌唱方式、配乐、应用等。
As useful lyric songs, the formation of their final texts is affected by many factors sounds, such as singing method, background and application and so on.
通过编程实现了按照事件类型和地理位置两种分类方式对新闻文本进行分类，程序分类结果验证了该方法的实用性。
By programming the classification of news text in two types of event and of location is realised in this paper, and the results verified the practicality of the method.
传统KNN方法的明显缺陷是样本相似度的计算量很大，使其在具有大量高维样本的Web文本分类中缺乏实用性。
The traditional KNN has a fatal defect that time of similarity computing is huge. The practicality will be lost when the KNN is applied to WEB text categorization with high dimension and huge samples.
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