CIRCA:Viral Analytics Paper Proposal

From CIRCA

Revision as of 16:32, 27 January 2011 by AshleyMoroz (Talk | contribs)
Jump to: navigation, search

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 built an embeddable Voyeur and is testing it in different environments. This tool is able to perform various text analysis 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

  • Describe the current text analysis tools available and their benefits and limitations.
  • Demonstrate viral Voyeur within Open Journal Systems, Wordpress, and Drupal
  • Describe the methodology of the interviews
  • Discuss the results from the interviews
  • Conclude with the future of the project.
  1. Embed Voyeur into journals and blogs
  2. Conduct an analysis on how users used the tool
  3. Create three levels of the tool (beginner, intermediate, advanced)
Personal tools