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Adam Crymble
Jeremy Boggs, Fred Gibbs, Miriam
Posner, William J. Turkel, et al.
Just My Ideas
Programming Historian (2008)
William J. Turkel & Alan MacEachern
1. Working with Files and Web Pages
2. From HTML to a List of Words
3. Computing Frequencies
4. Wrapping Output in HTML
5....
Different Expectations
Different Expectations
Readers
Lessons Available
Lessons Available
Learn a Tool
Topic Modeling
OpenRefine
Omeka.net
Zotero API
WGET
Learn a Skill or Solve an Issue
Online Exhibit Building
Data Manipulation
Topic Modeling
Web Scraping
APIs
Learn a Language

Intro to Python
Who are they?
Who are they?
Who are they?
Who are they?
Who are they?
When are they?
Are they using it?
Lesson

Time spent on page

Topic Modeling & Mallet

19:57

From HTML to a List of Words

13:14

Unders...
Who is it useful for?
•
•
•
•

Undergraduates?
Researchers?
Libraries / Archives?
Non-Academics?
How do they find us?

Content in front of eyes. Not eyes to content.
Writers
Sharing and Learning
A little something extra
A little something extra
•
•
•
•

Querying not Speculating
Experienced Technical Writers
Peer Review
Commitment to Follow ...
My Goals Moving Forward
1. More European and British Contributors
2. Beginner and Intermediate

3. Proper Credit for Contr...
Adam Crymble
adam.crymble@gmail.com
@adam_crymble
Adam Crymble - Digital History seminar 15 October 2013
Adam Crymble - Digital History seminar 15 October 2013
Adam Crymble - Digital History seminar 15 October 2013
Adam Crymble - Digital History seminar 15 October 2013
Adam Crymble - Digital History seminar 15 October 2013
Adam Crymble - Digital History seminar 15 October 2013
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Adam Crymble - Digital History seminar 15 October 2013

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Adam Crymble - Digital History seminar 15 October 2013

  1. 1. Adam Crymble Jeremy Boggs, Fred Gibbs, Miriam Posner, William J. Turkel, et al.
  2. 2. Just My Ideas
  3. 3. Programming Historian (2008) William J. Turkel & Alan MacEachern
  4. 4. 1. Working with Files and Web Pages 2. From HTML to a List of Words 3. Computing Frequencies 4. Wrapping Output in HTML 5. Keywords in Context (KWIC) 6. Tag Clouds 7. Harvesting Links and Downloading Pages 8. Indexing a Document Collection
  5. 5. Different Expectations
  6. 6. Different Expectations
  7. 7. Readers
  8. 8. Lessons Available
  9. 9. Lessons Available
  10. 10. Learn a Tool Topic Modeling OpenRefine Omeka.net Zotero API WGET
  11. 11. Learn a Skill or Solve an Issue Online Exhibit Building Data Manipulation Topic Modeling Web Scraping APIs
  12. 12. Learn a Language Intro to Python
  13. 13. Who are they?
  14. 14. Who are they?
  15. 15. Who are they?
  16. 16. Who are they?
  17. 17. Who are they?
  18. 18. When are they?
  19. 19. Are they using it? Lesson Time spent on page Topic Modeling & Mallet 19:57 From HTML to a List of Words 13:14 Understanding Regular Expressions 9:37 Applied Archival Downloading 8:21 Automated Downloading with WGET 6:08 Site Average 2:53
  20. 20. Who is it useful for? • • • • Undergraduates? Researchers? Libraries / Archives? Non-Academics?
  21. 21. How do they find us? Content in front of eyes. Not eyes to content.
  22. 22. Writers
  23. 23. Sharing and Learning
  24. 24. A little something extra
  25. 25. A little something extra • • • • Querying not Speculating Experienced Technical Writers Peer Review Commitment to Follow Through
  26. 26. My Goals Moving Forward 1. More European and British Contributors 2. Beginner and Intermediate 3. Proper Credit for Contributors
  27. 27. Adam Crymble adam.crymble@gmail.com @adam_crymble

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