Viral Analytics Paper Proposal
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Viral Analytics: Embedded Voyeur
Text analysis tools are useful to researchers in DigitalHumanities as they analyze digital texts in various ways. However,most text analysis tools are on their own website and the desireddocument has to be uploaded into the tool in order to analyze it.For instance, MONK (monkproject.org) is a data mining applicationfor literary analysis, but all operations are done on the siteitself. HyperPo (hyperpo.org) allows users to specify texts thatexist elsewhere on the web, but you must go to the site to see theanalysis. Taporware (taporware.ualberta.ca) offers some webservices in addition to its interface, but the services can bedifficult to use. The TAPoR portal is a combination of online toolslocated elsewhere on the web, but it relies on users to access thetool 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
- Describe the current text analysis tools available and their benefits and limitations.
- State why an embedded text analysis tool would benefit users
- Relate this project to ongoing research in the Digital Humanities.
- Explain the methodology for the interviews and what we are planning on getting out of them
- Describe the results from the interviews
- 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)