“Document classification test”版本间的差异

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Document classification of Sougou data
 
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==Problem An Solve==
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==Problem And Solve==
 
*[[How to import the sparse data of vsm to weka]]
 
*[[How to import the sparse data of vsm to weka]]
  
==Document classification of Sougou data ==
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==Test==
* DATA
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[[Sougou data]]
:* Data from SougouLab [http://www.sogou.com/labs/dl/c.html],using SogouC.reduced(30M)
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:* 9-Classes:财经,IT,健康,体育,旅游,教育,招聘,文化,军事
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:* train and test: train(),test(),dev()
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*Text preprocessing
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:* Segment word using wordlist of 9W.(tencent)
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:* Remove stop word.stop_wordlist is
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:*
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*Some Tools
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:* weka
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:* scw
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:* google word2ve
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:* LDA
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===VSM Test===
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*Data
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:* dimension:9402
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*Method
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:* document reprenstion: use the tf-idf weight for word weight
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:* classifier: Native Bayes
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*Result
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===LDA Test===
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===Word2vec Test===
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2014年9月28日 (日) 11:33的最后版本

Problem And Solve

Test

Sougou data