相对关键词导出词是对单个媒体的概括与通称。它的意义在于对媒体的检索和分类。
在结果视图中，可以标记所有感兴趣的词并将其导出到字典。
In the results view, you can mark all interesting words and export them to a dictionary.
我们采用了基于词熵的特征项提取方法，并且使用特征项单词出现频率来表示向量，推导出相应的贝叶斯计算公式。
We adopt a way of attribute selection based on word entropy, use vectors which are represented by word frequency, and deduce its corresponding Bayesian formula.
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