CIRCA:Viral Analytics Paper Proposal

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Viral Analytics: Embedded Voyeur

Text analysis tools are useful to researchers in Digital Humanities as they analyze digital texts in various ways. However, most text analysis tools are on their own website and the desired document has to be uploaded into the tool in order to analyze it. For instance, MONK (monkproject.org) is a data mining application for literary analysis, but all operations are done on the site itself. HyperPo (hyperpo.org) allows users to specify texts that exist elsewhere on the web, but you must go to the site to see the analysis. Taporware (taporware.ualberta.ca) offers some web services in addition to its interface, but the services can be difficult to use. The TAPoR portal is a combination of online tools located elsewhere on the web, but it relies on users to access the tool on the website.


Viral Analytics is building an embeddable Voyeur able to perform various text analysis tools while being embedded in a site. This means that users can access these text analysis tools while looking at the article. Since Voyeur is in its primary stage, we are conducting interviews with journal and blog editors in the Digital Humanities to determine what kinds of tools would be beneficial for these sites. The interviews will also help us determine the frameworks that these sites are using.

Therefore, in this paper we will

  1. Describe the current text analysis tools available and their benefits and limitations.
  2. State why an embedded text analysis tool would benefit users
  3. Relate this project to ongoing research in the Digital Humanities.
  4. Explain the methodology for the interviews and what we are planning on getting out of them
  5. Describe the results from the interviews
  6. Conclude with the future of this project.
    • Embed Voyeur into journals and blogs
    • Conduct an analysis on how users used the tool
    • Create three levels of the tool (beginner, intermediate, advanced)
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