• Introduction
• Presentation (ppt)
• Data & Methods
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• Query Tools
• Market Basket Analysis
• (a)Typical Readers
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• Texts
• Reading Level
• Topic Modeling
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• Conclusions

Conclusions (and Further Questions)

Once again, thanks to Ball State University and the Muncie Public Library for What Middletown Read, whose efforts make this work possible. Our (the HDW's) work still needs revision, systematic review, etc., but that in no way reflects on What Middletown Read.

The more we do, the more questions we have:

• What about the long tail? Unusual or infrequent reading?
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• Can we systematically discriminate between different kinds of reading (entertainment, educational, civic, occupational)?
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• How might we integrate data about reading (the What Middletown Read data with distant reading (topic modeling, etc)?
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• Can we generalize from the OCLC_subject information in the database?