Saku textmining 4 textmining for social

GUI @stiq2011/07/16 1

• @stiq••• web• 2

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••outlook temperature humidity windy playsunny 85 85 FALSE nosunny 80 90 TRUE noovercast 83 86 FALSE yesrainy 70 96 FALSE yesrainy 68 12 80 FALSE yes

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• tf-idf•• Harman, Sparck Jones 21

• C4.5•• SVM•• 22

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••• web• web 28

• • web • • Amazon Mechanical • • OCR 29

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GUI 38

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GUIJavaJava 40

GUI Python 41

• csv weka arff• arff• 42

outlook temperature humidity windy playsunny 85 85 FALSE nosunny 80 90 TRUE noovercast 83 86 FALSE yesrainy 70 96 FALSE yesrainy 68 80 FALSE yes 43

weka• arff• 49

outlook temperature humidity windy playsunny 85 85 FALSE nosunny 80 90 TRUE noovercast 83 86 FALSE yesrainy 70 96 FALSE yesrainy 68 80 FALSE yes 50

arff 51

Time taken to build model: 0.01 seconds === Stratified cross-validation === === Summary ===Correctly Classified Instances 9 64.2857 %Incorrectly Classified Instances 5 35.7143 % Kappa statistic 0.186 Mean absolute error 0.2857 Root mean squared error 0.4818 Relative absolute error 60 % Root relative squared error 97.6586 % Total Number of Instances 14 52

=== Detailed Accuracy By Class ===TP Rate FP Rate Precision Recall F-Measure ROC Area Class 0.778 0.6 0.7 0.778 0.737 0.789 yes 0.4 0.222 0.5 0.4 0.444 0.789 no === Confusion Matrix === a b <-- classiﬁed as 7 2 | a = yes 3 2 | b = no 53

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• Weka in : http:// www.mkc.zaq.ne.jp/eabeh309/weka/• #sakuTextMining - hamadakoichi blog : http://d.hatena.ne.jp/ hamadakoichi/20110416/p1 56

• MySQL TF-IDF 2 : http://txqz.net/blog/ 2006/12/19/2347• Japanese VoteMatch Working Group ― ― : http://votematch.jpn.org/ votematchwg/japanese/jreference.html 57

Saku textmining 4 textmining for social

by stiq on Jul 19, 2011

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Saku textmining 4 textmining for social — Presentation Transcript

https://twitter.com	1
http://s.deeeki.com	1