Page History

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• How do challenges with OCR intersect with strategies for computational analysis of text?  What might be effective strategies to deal with these challenges?
• What exactly is the "text"?  Can you think of parts of a book that you might not want to include in your analysis? Why or why not? If you would, how would you exclude these parts?

Introducing Control -

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Microanalysis

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with Voyant

Voyant is a low barrier text analysis tool that delivers a rich, interactive interface and a variety of visualizations.  Input format can be plain text, a PDF (with OCR), a MS Word Document or a URL for HTML analysis. Upload of any material will be subject to the Voyant privacy policy. Sample texts and URLs for analysis are listed below for experimentation, but feel free to use other source data that interests you. 

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• What does exerting control do to our results?  Does it change the validity of our assertions?
• What is signal?  What is noise?

Moving from Microanalysis to Macroanalysis

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(Google nGrams

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and HTRC bookworm)

Google's nGram Viewer. Use the links below as starting points; dynamic modifications can be made at any point. Rules for syntax can be found on the About page.

• graffiti - let's start with this, and make it more meaningful

HathiTrust Research Center (HTRC) Bookworm

• examples here

General questions

• problems of convergence/divergence and strategies for disentangling.

More

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Macroanalysis with HTRC

• HTRC
• entity extraction
  • What are entities?
  • False positives/false negatives (omissions)
• Clustering - topic modeling
  • define and defer for Mimno

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