文件名称:文本分析聚类实战
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文本挖掘是从大量的文本数据中抽取隐含的，求和的，可能有用的信息。
通过文本挖掘实现
?Associate：关联分析，根据同时出现的频率找出关联规则
?Cluster：将相似的文档（词条）进行聚类
?Categorize：将文本划分到预先定义的类别里(Text mining is a kind of information that is extracted from a large number of text data, which may be useful.
Implementation of text mining
1. Associate: association analysis, finding association rules based on the frequency of simultaneous occurrence
2.Cluster: clustering similar documents (entries)
3.Categorize: dividing text into a predefined category)
通过文本挖掘实现
?Associate：关联分析，根据同时出现的频率找出关联规则
?Cluster：将相似的文档（词条）进行聚类
?Categorize：将文本划分到预先定义的类别里(Text mining is a kind of information that is extracted from a large number of text data, which may be useful.
Implementation of text mining
1. Associate: association analysis, finding association rules based on the frequency of simultaneous occurrence
2.Cluster: clustering similar documents (entries)
3.Categorize: dividing text into a predefined category)
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下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| 文本分析聚类实战 | 0 | 2015-01-20 |
| 文本分析聚类实战\文本分析聚类实战.doc | 365056 | 2015-01-16 |