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  • bring text to play with in Voyant. Input format can be plain text, a PDF (with OCR), a MS Word Document or a URL for HTML analysis.

Going down the rabbit hole: anatomy of a digital book

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Let's look again at the Arapaho gospel of St. LukeSwitch to text view.

  • What is a word? How would you define this for a computer?
  • What isn't a word? How would you tell a computer to exclude these?
  • Can you think of special cases where tokens might contain more than one word?
  • Are there words we prefer not to count at all?
  • What sets of rules would we need to tokenize?  Would these be ordered in any specific way?
  • Is there a "right way" to tokenize?

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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 - "Microanalysis" and Voyant

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

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privacy policy. Sample texts and URLs for analysis are listed below for experimentation, but feel free to use other source data that interests you. 

(1) Exerting

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control

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

(2) Visualization of derived data

We calculate frequency

  • Why not express our counts simply (as counts)?  Why calculate frequencies?
  • Is this misleading?  If so, in what ways?

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