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Coverage for grant HD-51244-11

A Text Analysis Tool for Examining Stylistic Similarities in Narrative Collections
Bryan Wagner, University of California, Berkeley

Grant details:

Trimming time in the stacks (Media Coverage)
Author(s): Nicole Freeling
Publication: University of California | Research | Explore stories
Date: 12/20/2011
Abstract: A sophisticated text-analyzing tool developed by a UC Berkeley graduate student could speed literary searches for humanities scholars and other researchers.

"We need tools that can help people have their ideas faster" (Media Coverage)
Author(s): Mac Slocum
Publication: O'Reilly Radar
Date: 2/17/2011
Abstract: Aditi Muralidharan on improving discovery and building intuition into search.

Review of WordSeer, produced by Aditi Muralidharan, Marti Hearst, and Bryan Wagner (Review)
Author(s): Amy Earhart
Publication: Journal of Digital Humanities
Date: 4/10/2012
Abstract: The WordSeer tool, developed at the University of California, Berkley by Aditi Muralidharan and Marti Hearst with research partner Bryan Wagner, is an exploratory analysis or “sensemaking” environment for literary texts. The tool is based on an understanding of literary analysis as a cyclical, rather than a linear, process, a notion that has been underemphasized in tool development where visualizations and datamining have generally been seen as exposing the text for scholarly treatment. WordSeer allows you to read a text, search for relationships between words and phrases, examine grammatical relationships, and examine produced heat map and tree visualizations.