Media & Technology - Text Mining - Activities

Media & Technology Introduction | Text Mining Presentations | Text Mining Activities

Practice analyzing some text with various text mining applications (5 to 30+ minutes each)

 

Is text mining useful for your research? (5 to 10+ minutes)

Think about your research question(s) or topic using the links below to The Fish and the Painting Links to an external site. blog by Andrew Piper ("An entertaining guide to data-driven research in the humanities (using R)").

  1. How would you frame your research question Links to an external site. so that it can be answered by text mining? 
  2. To do text mining, we want to quantify some features of texts Links to an external site..
    • What do you want to measure?
    • How would you want to measure it? 
  3. Data is not objective. Human intervention and decision-making is involved in every stage of text mining, including data collection Links to an external site..
    • What are the potential decisions you would have to make?
    • What are the decisions already made for your data? 
  4. University of Kentucky community: Which research databases support text and data mining Links to an external site.?

Try out Voyant Tools (5 to 10+ minutes)

Take a few minutes to upload some text to Voyant Tools Links to an external site. and play around with it. What questions does this raise for you?

Tip: Don’t have any text to upload? Try uploading a free e-book available on https://www.gutenberg.org Links to an external site..

 

Other text and data mining tools to explore (5 to 10+ minutes each)

Explore other text mining tools through Digital Scholarship and Data Links to an external site. at UK Libraries, such as:

  • HathiTrust Research Center (HTRC) Analytics
  • The Distant Reader
  • MALLET
  • RStudio -- a product related to Andrew Piper's Fish and the Painting blog above

 

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Media & Technology Introduction | Text Mining Presentations | Text Mining Activities