Aditi S. Muralidharan

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We describe WordSeer, a tool whose goal is to help scholars and analysts discover patterns and formulate and test hypotheses about the contents of text collections, midway between what humanities scholars call a traditional "close read'' and the new "distant read" or "culturomics" approach. To this end, WordSeer allows for highly flexible "slicing and(More)
While there are many commercial systems to help people browse and compare products, these interfaces are typically <i>product</i> centric. To help users identify products that match their needs more efficiently, we instead focus on building a task centric interface and system. Based on answers to initial questions about the situations in which they expect(More)
We present a sensemaking environment for literary text analysis. Literature study is a cycle of reading, interpretation, exploration, and understanding. While there is now abundant technological support for reading and interpreting literary text in new ways through text-processing algorithms, the other parts of the cycle - exploration and understanding -(More)
A common task in qualitative data analysis is to characterize the usage of a linguistic entity by issuing queries over syntactic relations between words. Previous interfaces for searching over syntactic structures require programming-style queries. User interface research suggests that it is easier to recognize a pattern than to compose it from scratch;(More)
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