“Document classification test”版本间的差异

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*[[How to import the sparse data of vsm to weka]]
 
*[[How to import the sparse data of vsm to weka]]
  
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==Document classification of Sougou data ==
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==Test==
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* DATA
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[[Sougou data]]
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:* 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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*class map
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C000007 汽车
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C000008 财经
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C000010 IT
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C000013 健康
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C000014 体育
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C000016 旅游
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C000020 教育
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C000022 招聘
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C000023 文化
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C000024 军事
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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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{| border="2px"
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|+ classification result
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|-
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!  !! 财经!! IT!! 健康!! 体育!! 旅游 !!教育 !! 招聘!! 文化!!军事!!sum
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! ACC-test
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|  0.72139 || 0.72139 || 0.75124 || 0.82089 || 0.79602 || 0.61194 || 0.70647 || 0.64179|| 0.79104 || 0.72913
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! ACC-train
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| 0.678 || 0.718 || 0.708 || 0.708 || 0.73
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|}
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===LDA Test===
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===Word2vec Test===
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*Word2vec result
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:* Dimension
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{| border="2px"
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|+ classification result Of ACC in different dimension
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|-
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! Dimension  !! 财经!! IT!! 健康!! 体育!! 旅游 !!教育 !! 招聘!! 文化!!军事!!sum
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|-
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! 10
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| 0.766169154|| 0.383084577|| 0.52238806|| 0.820895522|| 0.666666667|| 0.44278607|| 0.567164179|| 0.721393035|| 0.850746269|| 0.637921504
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|-
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!20
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|0.781094527|| 0.537313433|| 0.572139303|| 0.830845771|| 0.76119403|| 0.452736318|| 0.611940299|| 0.646766169|| 0.860696517|| 0.672747374
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!30
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|0.815920398|| 0.671641791|| 0.606965174|| 0.835820896|| 0.766169154|| 0.552238806|| 0.577114428|| 0.68159204|| 0.885572139|| 0.710337203
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!40
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|0.7960199|| 0.68159204|| 0.631840796|| 0.805970149|| 0.756218905|| 0.572139303|| 0.577114428|| 0.701492537|| 0.905472637|| 0.714206744
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!50
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|0.805970149|| 0.691542289|| 0.641791045|| 0.800995025|| 0.751243781|| 0.552238806|| 0.651741294|| 0.656716418|| 0.910447761|| 0.718076285
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!60
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|0.7960199|| 0.68159204|| 0.626865672|| 0.776119403|| 0.736318408|| 0.572139303|| 0.626865672|| 0.651741294|| 0.895522388|| 0.707020453
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|-
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!70
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|0.7960199|| 0.701492537|| 0.621890547|| 0.781094527|| 0.771144279|| 0.572139303|| 0.631840796|| 0.656716418|| 0.905472637|| 0.715312327
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|-
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!80
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|0.7960199|| 0.686567164|| 0.626865672|| 0.805970149|| 0.776119403|| 0.582089552|| 0.631840796|| 0.676616915|| 0.905472637|| 0.720840243
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!90
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|0.805970149|| 0.71641791|| 0.621890547|| 0.776119403|| 0.766169154|| 0.572139303|| 0.646766169|| 0.666666667|| 0.915422886|| 0.720840243
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!100
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|0.776119403|| 0.706467662|| 0.631840796|| 0.751243781|| 0.786069652|| 0.577114428|| 0.646766169|| 0.666666667|| 0.910447761|| 0.716970702
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|-
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!110
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|0.771144279|| 0.71641791|| 0.656716418|| 0.741293532|| 0.76119403|| 0.597014925|| 0.606965174|| 0.691542289|| 0.910447761|| 0.716970702
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!120
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|0.76119403|| 0.71641791|| 0.646766169|| 0.756218905|| 0.766169154|| 0.60199005|| 0.661691542|| 0.686567164|| 0.915422886|| 0.723604201
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!130
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|0.776119403|| 0.731343284|| 0.631840796|| 0.76119403|| 0.771144279|| 0.577114428|| 0.626865672|| 0.701492537|| 0.905472637|| 0.720287452
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!140
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|0.76119403|| 0.746268657|| 0.63681592|| 0.736318408|| 0.786069652|| 0.587064677|| 0.651741294|| 0.68159204|| 0.900497512|| 0.720840243
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!150
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|0.756218905|| 0.726368159|| 0.63681592|| 0.736318408|| 0.771144279|| 0.611940299|| 0.651741294|| 0.686567164|| 0.910447761|| 0.720840243
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!160
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|0.751243781|| 0.71641791|| 0.646766169|| 0.731343284|| 0.776119403|| 0.597014925|| 0.651741294|| 0.696517413|| 0.895522388|| 0.718076285
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!170
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|0.756218905|| 0.741293532|| 0.661691542|| 0.731343284|| 0.766169154|| 0.60199005|| 0.651741294|| 0.666666667|| 0.900497512|| 0.71973466
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|-
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!180
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|0.781094527|| 0.731343284|| 0.651741294|| 0.736318408|| 0.781094527|| 0.606965174|| 0.631840796|| 0.676616915|| 0.895522388|| 0.721393035
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!190
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|0.771144279|| 0.726368159|| 0.661691542|| 0.731343284|| 0.766169154|| 0.60199005|| 0.631840796|| 0.706467662|| 0.900497512|| 0.721945826
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!200
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|0.771144279|| 0.736318408|| 0.641791045|| 0.706467662|| 0.771144279|| 0.606965174|| 0.611940299|| 0.71641791|| 0.900497512|| 0.718076285
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|}
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:* Window
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{| border="2px"
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|+ classification result Of ACC in different dimension
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|-
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! Dimension  !! 财经!! IT!! 健康!! 体育!! 旅游 !!教育 !! 招聘!! 文化!!军事!!sum
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|-
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!3
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|0.805970149|| 0.666666667|| 0.621890547|| 0.766169154|| 0.76119403|| 0.542288557|| 0.646766169|| 0.641791045|| 0.900497512|| 0.70591487
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!4
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|0.756218905|| 0.686567164|| 0.646766169|| 0.776119403|| 0.776119403|| 0.567164179|| 0.631840796|| 0.651741294|| 0.905472637|| 0.710889994
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!5
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|0.791044776|| 0.711442786|| 0.641791045|| 0.800995025|| 0.76119403|| 0.567164179|| 0.68159204|| 0.641791045|| 0.895522388|| 0.721393035
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!6
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|0.820895522|| 0.68159204|| 0.626865672|| 0.771144279|| 0.76119403|| 0.537313433|| 0.656716418|| 0.656716418|| 0.900497512|| 0.712548369
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!7
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|0.7960199|| 0.656716418|| 0.656716418|| 0.800995025|| 0.756218905|| 0.562189055|| 0.661691542|| 0.621890547|| 0.900497512|| 0.712548369
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!8
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|0.786069652|| 0.68159204|| 0.631840796|| 0.7960199|| 0.766169154|| 0.552238806|| 0.592039801|| 0.696517413|| 0.910447761|| 0.712548369
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!9
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|0.786069652|| 0.666666667|| 0.606965174|| 0.860696517|| 0.771144279|| 0.532338308|| 0.582089552|| 0.686567164|| 0.900497512|| 0.710337203
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!10
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|0.805970149|| 0.671641791|| 0.616915423|| 0.835820896|| 0.771144279|| 0.606965174|| 0.651741294|| 0.666666667|| 0.910447761|| 0.726368159
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−
|-
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!11
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|0.800995025|| 0.696517413|| 0.631840796|| 0.771144279|| 0.751243781|| 0.587064677|| 0.597014925|| 0.671641791|| 0.885572139|| 0.710337203
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−
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!12
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|0.7960199|| 0.671641791|| 0.626865672|| 0.7960199|| 0.76119403|| 0.542288557|| 0.606965174|| 0.706467662|| 0.900497512|| 0.711995578
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|-
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!13
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|0.791044776|| 0.661691542|| 0.641791045|| 0.830845771|| 0.766169154|| 0.592039801|| 0.552238806|| 0.71641791|| 0.905472637|| 0.717523494
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−
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!14
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|0.781094527|| 0.701492537|| 0.676616915|| 0.791044776|| 0.741293532|| 0.587064677|| 0.671641791|| 0.621890547|| 0.900497512|| 0.719181868
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−
|-
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!15
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|0.810945274|| 0.696517413|| 0.63681592|| 0.815920398|| 0.771144279|| 0.55721393|| 0.55721393|| 0.711442786|| 0.905472637|| 0.718076285
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|-
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|}
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*train-word2vec result
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:* Dimension
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{| border="2px"
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|+ classification result Of ACC in different dimension
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−
|-
+
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! Dimension  !! 财经!! IT!! 健康!! 体育!! 旅游 !!教育 !! 招聘!! 文化!!军事!!sum
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|-
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!10
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|0.641791045|| 0.701492537|| 0.671641791|| 0.711442786|| 0.651741294|| 0.606965174|| 0.71641791|| 0.736318408|| 0.885572139|| 0.702598121
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|-
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!20
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|0.656716418|| 0.771144279|| 0.656716418|| 0.691542289|| 0.711442786|| 0.60199005|| 0.68159204|| 0.810945274|| 0.890547264|| 0.719181868
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−
|-
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!30
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|0.686567164|| 0.771144279|| 0.68159204|| 0.666666667|| 0.741293532|| 0.631840796|| 0.771144279|| 0.746268657|| 0.910447761|| 0.734107242
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−
|-
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!40
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|0.68159204|| 0.791044776|| 0.686567164|| 0.671641791|| 0.726368159|| 0.63681592|| 0.76119403|| 0.781094527|| 0.885572139|| 0.735765616
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−
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!50
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|0.696517413|| 0.771144279|| 0.676616915|| 0.597014925|| 0.706467662|| 0.621890547|| 0.741293532|| 0.7960199|| 0.885572139|| 0.721393035
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−
|-
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!60
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|0.68159204|| 0.786069652|| 0.68159204|| 0.592039801|| 0.731343284|| 0.606965174|| 0.741293532|| 0.805970149|| 0.885572139|| 0.723604201
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−
|-
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!70
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|0.686567164|| 0.781094527|| 0.686567164|| 0.592039801|| 0.746268657|| 0.611940299|| 0.741293532|| 0.805970149|| 0.900497512|| 0.728026534
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−
|-
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!80
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|0.676616915|| 0.766169154|| 0.676616915|| 0.592039801|| 0.741293532|| 0.606965174|| 0.746268657|| 0.810945274|| 0.890547264|| 0.72305141
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−
|-
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!90
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|0.666666667|| 0.781094527|| 0.676616915|| 0.60199005|| 0.726368159|| 0.592039801|| 0.751243781|| 0.805970149|| 0.910447761|| 0.723604201
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−
|-
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!100
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|0.651741294|| 0.776119403|| 0.68159204|| 0.60199005|| 0.736318408|| 0.616915423|| 0.756218905|| 0.815920398|| 0.895522388|| 0.725815368
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−
|}
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:* Window
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2014年9月28日 (日) 11:33的最后版本

Problem And Solve

Test

Sougou data

取自“http://index.cslt.org/mediawiki/index.php?title=Document_classification_test&oldid=11555”