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  • Two books - page images and companion OCR - (sample book from HTDL)
    • What our eyes like to read is images
    • What machines read  needs to be constrained and predictable.:"machine actionable"
  • Books have metadata -
    • bibliographic (catalog view, MARC view)
    • structural
  • OCR - where does it come from?
  • OCR issues
    • language specific dictionaries
    • font styles
    • image resolution
    • handwriting

We count words - tokenization; why tokenize?

  • What is a word? (spaces are like any other character for a machine)
  • What isn't a word? 
    • Punctuation
    • page numbers
    • grammatical constructs of various languages (ex: negation, especially in French; passive reflexive in Spanish)
  • What words do we prefer not to count?
    • headers/footers

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  • Voyant
  • Load your text sample
  • Playing with 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?

We calculate frequency

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

Biblio

Writing about your results - the structure of scientific papers

Matt Jockers Book