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TEXT MPA 635: Data Visualization November 13, 2018 P L A N F O R - PowerPoint PPT Presentation

TEXT MPA 635: Data Visualization November 13, 2018 P L A N F O R T O D A Y Surveys and qualitative data Digital humanities Visualizing text with R S U R V E Y S A N D Q U A L I TAT I V E DATA S I N G L E R E S P O N S E Q U E S T I O N


  1. TEXT MPA 635: Data Visualization November 13, 2018

  2. P L A N F O R T O D A Y Surveys and qualitative data Digital humanities Visualizing text with R

  3. S U R V E Y S A N D Q U A L I TAT I V E DATA

  4. S I N G L E R E S P O N S E Q U E S T I O N S

  5. M U L T I P L E R E S P O N S E Q U E S T I O N S

  6. C O O C C U R R E N C E A N A LY S I S

  7. F R E E R E S P O N S E S

  8. I S T H I S O K A Y ?

  9. W O R D C L O U D S F O R G R O W N U P S Counting words, but in fancier ways

  10. D I G I TA L H U M A N I T I E S

  11. C R A S H C O U R S E I N C O M P U T A T I O N A L L I N G U I S T I C S Tokens, lemmas, and parts of speech Sentiment analysis tf-idf Topics and LDA Fingerprinting

  12. T I D Y T E X T

  13. T O K E N S Element of the text Word n-gram Sentence Verse Line Paragraph

  14. T O K E N F R E Q U E N C Y

  15. N - G R A M F R E Q U E N C Y

  16. P A R T S O F S P E E C H

  17. P A R T O F S P E E C H F R E Q U E N C Y

  18. A R T S Y S T U F F

  19. S E N T I M E N T A N A LY S I S How positive or negative a text is

  20. S E N T I M E N T A N A LY S I S

  21. T F - I D F Term frequency-inverse document frequency How important a term is compared to the rest of the documents

  22. T O P I C M O D E L I N G

  23. L A T E N T D I R I C H L E T A L L O C A T I O N

  24. C L U S T E R S O F R E L A T E D W O R D S

  25. T R A C K T O P I C S O V E R T I M E

  26. F I N G E R P R I N T I N G Analyze richness or uniqueness of document Punctuation patterns, vocabulary choices, sentence length Hapax legomenon

  27. Sentence length

  28. Hapax legomena

  29. Verse length

  30. V I S U A L I Z I N G T E X T W I T H R

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