MONK: An Introduction       Harriett Green, English and Digital Humanities Librarian“Digital Humanities in Theory and Prac...
MONK, the project    http://monkproject.org        MONK, the toolhttps://monk.library.illinois.edu
What Is MONK?• A web-based text mining application:  https://monk.library.illinois.edu• Contains a closed corpus of curate...
How Do I Use It?• Start at https://monk.library.illinois.edu (Don’t  forget to type the encrypted “https”!)
Create an Account and Log In• Click on “Begin” button to create an account  • If you’re from a CIC institution, click on t...
Available Works
Create a Project
MONK Workbench“Define Worksets” to build text corpus
Create WorksetsSearch for texts to create a workset
Create WorksetsSelect texts and click Save to create a Workset
View Texts
Select Toolsets• Use tools based on SEASR and Meandre  (http://seasr.org)• Compare Worksets: Use Dunning’s Log  Likelihood...
Select Toolsets
Run Analysis!
You Try It!https://monk.library.illinois.edu
MONK in a Nutshell• Read the MONK Tutorials:  https://monk.library.illinois.edu/cic/public/tut  orial/gettingStarted/getti...
QUESTIONS?Thank you for your time!    Harriett Green green19@illinois.edu Twitter: @greenharr
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Monk slides final

  1. 1. MONK: An Introduction Harriett Green, English and Digital Humanities Librarian“Digital Humanities in Theory and Practice: Tools and Methods for Librarians” June 22, 2012
  2. 2. MONK, the project http://monkproject.org MONK, the toolhttps://monk.library.illinois.edu
  3. 3. What Is MONK?• A web-based text mining application: https://monk.library.illinois.edu• Contains a closed corpus of curated texts marked up in TEI-A and Part-Of-Speech tagging• Texts selected from public collections (i.e., Documenting the American South) and proprietary (i.e., EEBO)• Analyze texts with tools based on SEASR and Meandre
  4. 4. How Do I Use It?• Start at https://monk.library.illinois.edu (Don’t forget to type the encrypted “https”!)
  5. 5. Create an Account and Log In• Click on “Begin” button to create an account • If you’re from a CIC institution, click on the “Begin CIC” button in the lower box to log in with your university ID and password• After setting up user name and password, log into MONK 5
  6. 6. Available Works
  7. 7. Create a Project
  8. 8. MONK Workbench“Define Worksets” to build text corpus
  9. 9. Create WorksetsSearch for texts to create a workset
  10. 10. Create WorksetsSelect texts and click Save to create a Workset
  11. 11. View Texts
  12. 12. Select Toolsets• Use tools based on SEASR and Meandre (http://seasr.org)• Compare Worksets: Use Dunning’s Log Likelihood or TF/IDF comparisons to analyze two worksets against each other• Classification: Run Naïve Bayes analysis and can also produce Decisions Trees
  13. 13. Select Toolsets
  14. 14. Run Analysis!
  15. 15. You Try It!https://monk.library.illinois.edu
  16. 16. MONK in a Nutshell• Read the MONK Tutorials: https://monk.library.illinois.edu/cic/public/tut orial/gettingStarted/gettingStarted.html• A great tool for learning about text mining• For technical help, contact: monkquestions@library.illinois.edu
  17. 17. QUESTIONS?Thank you for your time! Harriett Green green19@illinois.edu Twitter: @greenharr

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