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Bookworm

Group 1 - Voyant

Tips

• Suggest that you use Chrome if you are on Windows. It is most responsive and resilient against screen lockups for this tool.
• Your exploration will begin at https://voyant-tools.org/?corpus=bd21a9fdbe8a7e67556ede72ab51d10d
• Help files for customizing the tool are at http://voyant-tools.org/docs/#!/guide/start
• Choose roles of recorder and presenter

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After your exploration, be prepared to report your findings to the other team(s) and take their questions. Be prepared to talk about

• the underlying data
• the ways the tools can be customized
• the utility and potential of the tools, both positive and negative

Group 2 - nGram Viewer

Tips

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• Spend some time exploring the notes about the underlying data.  What kind of text data is this? 
  
  • Is the text clean? Indexed? Filtered? Structured? Anything else interesting you note about the data?
• Explore the functions of the tool.  Attempt to make claims about the intellectual content of the text based on the tool and its visualizations. (Feel free to reach a little; definitely refine and make the input better.)
  
  • How comprehensive are these terms?  Can you make them more comprehensive by making them case insensitive?  What happens to your results? What does this mean about your assertions?
  • Can you make some phrases case sensitive while making others case insensitive? How?
  • Can you segment by language to indicate data from Great Britain as distinct from US English?  What implications might that have for your developing ideas about these terms? What does it mean to find these terms in Spanish?
  • Can you add related terms?  Do these terms show interesting trending, either coincident or inverse? 
  • Add the coalesced term "(male+(chauvinism+chauvinist))".  Note the way the frequency of this form obliterates the other waveforms.  What can you do to temper this action? 
  • What sorts of supplemental data would be helpful in making sense of these visualizations?
  • Operate the date parameters.
    
    • How far can you extend the visualization? 
    • What happens to the representation of the data when you focus on a specific year span years?  How does that affect the narrative you would tell about the trend of the frequency of a word?
  • Play around - try other searches on other themes and customize them.  Observe and evaluate their effects. Try to shoot for something meaningful to share with the other group. 
• Consider the value of the tool
  
  • What can you manage to do?  What is this tool good for?
  • What sorts of things did you want to do, but could not?
  • What can you infer from the interface about the text? What is still opaque?

After your exploration, be prepared to report your findings to the other team(s) and take their questions. Be prepared to talk about

• the underlying data
• the ways the tools can be customized
• the utility and potential of the tools, both positive and negative

Group 3 - Bookworm

Tips

• Any browser should work fine.
• Your exploration will begin here. If this doesn't render, open https://bookworm.htrc.illinois.edu/develop/, clear filtering, replace the two terms with "consumption" and "tuberculosis", and run the search.
• Discussion of the use of the tool is at https://wiki.htrc.illinois.edu/pages/viewpage.action?pageId=26705922 (See the bottom of the page under the heading "Using HT+BW)
• (Extremely short) description of underlying data is here, and greater documentation here.
• Choose roles of recorder and presenter

...

• Spend some time exploring the notes about the underlying data.  What kind of text data is this?
  • Is the text clean? Indexed? Filtered? Structured? Anything else interesting you note about the data?
• Explore the functions of the tool.  Attempt to make claims about the intellectual content of the text based on the tool and its visualizations. (Feel free to reach a little; definitely refine and make the input better.)
  • Add other communicable diseases of interest.
  • Try comparing Malaria "malaria" as found in publications of the United States or the United Kingdom. 
    
    • Where does the data to facet in this way come from?
    • Can What narrative could you potentially make a narrative out of from this graph?
    • What sorts of supplemental data would be helpful in constructing this narrative? (Wave your magic wand here...)
  • Conjecture as to what "Class", "Subclass" and "Narrow class" might mean.  Where would this faceting data come from?
  • Click on a spot on one of the plotted curves (and wait, rendering can take a little time).  What is this data in the drop down?  Explore it - how might it be useful?
  • Operate the date sliders. 
    

    • How far can you extend the visualization?

    • What happens to the representation of the data when you
    zero in on certain
    • focus on a specific year span years?  How does that affect the narrative you would tell about the trend of the frequency of a word?

  • What sorts of supplemental data would be helpful in making sense of these visualizations?

  • Play around - try other searches and customizations, customize them; observe and evaluate their effects.
• Consider the value of the tool
  
  • What can you manage to do?  What is this tool good for?
  • What sorts of things did you want to do, but could not?
  • What can you infer from the interface about the text? What is still opaque?

After your exploration, be prepared to report your findings to the other team(s) and take their questions. Be prepared to talk about

• the underlying data
• the ways the tools can be customized
• the utility and potential of the tools, both positive and negative

Bringing it back together

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