2. WHO AM I? (Tsai, Chia-Chi) Rueshyna (Rues)
http://rueshyna.org Machine Learning, Text Mining 3. Text Analytics
4. Text AnalyticsPython 5. Text AnalyticsEnglishPython 6. Text
AnalyticsEnglish ChinesePython 7. Text AnalyticsEnglish
ChinesePython 8. Chinese 9. ChineseML/DM Monday 10. ChineseML/DM
MondayDIY Chinese Segmentation 11. NLTK NUMPY MATPLOTLibrary 12.
DataTrain-sampe.csv -
Titlehttp://www.kaggle.com/c/predict-closed-questions-on-stack-overow
13. HOW TO ANALYSIS? 14. TermFrequency 15. Zipfs lawFrequencyWord
16. Zipfs lawFrequencyWordW1,W2,W3,W4,W5...... 17. High Freq 18.
Word Freq Word Freqto 43736 of 14161? 41421 is 13232in 34713 with
13112a 29796 on 10954how 24858 i 10719. 19919 , 9708the 19409 c
9521for 15283 from 9185- 15145 8742and 14328 using 8219Top 20 19.
Mid Freq 20. Word Freq Word Freqgoogle 1683 like 15801 1668 nd
1572all 1659 good 1545problem 1644 time 1544query 1639 set 1537form
1625 xml 1536help 1622 between 1535add 1613 method 1533vs 1593
rails 1526work 1592 project 152250~70th 21. Low Freq 22. Word Freq
Word Freqally 1 alpha1 1alm 1 alphabetize 1aloaha 1 alphalite
1alocation 1 alphanumerical 1alogcat 1 alphanumerics 1alogrithm 1
alsways 1aloha 1 altassian 1alongside 1 alterantive 1alot 1
alterate 1alowing 1 alterbox 1Freq = 1 23. Word Freq Word Freqally
1 alpha1 1alm 1 alphabetize 1aloaha 1 alphalite 1alocation 1
alphanumerical 1alogcat 1 alphanumerics 1alogrithm 1 alsways 1aloha
1 altassian 1alongside 1 alterantive 1alot 1 alterate 1alowing 1
alterbox 1Freq = 1 24. TermFrequency+Part of Speech 25. Noun 26.
High FreqHigh Freq Mid FreqMid Freq Low FreqLow Freqle web help
html accordeon accustomcode page rails view accordian acdisdata way
line script according aceessapplication function number name
accordtion acessibilitys java windows asp accound acessort server
button mysql accoutn achorerror database issue framework accros
achsesphp image development software accses acitityc class work
service acction acknowledgeapp value custom control accumlation
acknowledgements 27. High FreqHigh Freq Mid FreqMid Freq Low
FreqLow Freqle web help html accordeon accustomcode page rails view
accordian acdisdata way line script according aceessapplication
function number name accordtion acessibilitys java windows asp
accound acessort server button mysql accoutn achorerror database
issue framework accros achsesphp image development software accses
acitityc class work service acction acknowledgeapp value custom
control accumlation acknowledgements 28. High FreqHigh Freq Mid
FreqMid Freq Low FreqLow Freqle web help html accordeon
accustomcode page rails view accordian acdisdata way line script
according aceessapplication function number name accordtion
acessibilitys java windows asp accound acessort server button mysql
accoutn achorerror database issue framework accros achsesphp image
development software accses acitityc class work service acction
acknowledgeapp value custom control accumlation acknowledgements
29. High FreqHigh Freq Mid FreqMid Freq Low FreqLow Freqle web help
html accordeon accustomcode page rails view accordian acdisdata way
line script according aceessapplication function number name
accordtion acessibilitys java windows asp accound acessort server
button mysql accoutn achorerror database issue framework accros
achsesphp image development software accses acitityc class work
service acction acknowledgeapp value custom control accumlation
acknowledgements 30. Verb 31. High FreqHigh Freq Mid FreqMid Freq
Low FreqLow Freqis nd see parse abandon accuratedo need develop "
abbreviate acegiuse add put select abc achivedoes i open insert
abcnull ackget has take inside absurd acknowledgeare work generate
detect abybody acomplishbe set download delete acceptance
actioncreate write stop choose accesslog actionscriptmake learn
print replace accomodate activeshave change return include
accumulate activestate 32. Adj 33. High FreqHigh Freq Mid FreqMid
Freq Low FreqLow Freqbest table long slow abelian accusablenet open
visual high above acessandroid many top binary abreast achievenew
dynamic common small absent acknowledgedpossible specic real such
abysmal aclocalgood website double private acadamic acousticdierent
local public objective accelerometer actionbeanvariable key
multiple faster accepted activemerchantsame more null generic
accessary acts_as_commentableother single second global accomplish
actsastaggable 34. Collocation 35. I could murder a curry. 36. I
could murder a curry . 37. I could murder a curry .I could 38. I
could murder a curry .I couldI murder 39. I could murder a curry .I
couldI murderI a 40. I could murder a curry .I couldI murderI aI
curry 41. I could murder a curry .I couldI murderI aI curryI . 42.
I could murder a curry .I couldI murderI aI curryI .could murder
43. I could murder a curry .I couldI murderI aI curryI .could
murder 44. murder curryWHY? 45. murder curryWHY?It cant tell you
why.Just use it!!! 46. Python ... 47. Python ...PHPWeb
RubyDjangocodeJavaframeworkWindowsfunctionmodule 48. Django ... 49.
adminmodel appPythonRailsgetqueryPHPerrorcustomDjango ... 50.
N-Gram 51. DEMO 52. Ref Christopher D. Manning and Hinrich
Schtze(1999). Foundations of Statistical NaturalLanguage
Processing. The MIT Press. Kaggle 53. THANKS
