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Using Category Information for Relationship Exploration in Textual Data

Qu, Yan and Furnas, George and Walstrum, Ben (2006) Using Category Information for Relationship Exploration in Textual Data. In Grove, Andrew, Eds. Proceedings 69th Annual Meeting of the American Society for Information Science and Technology (ASIST) 43, Austin (US).

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Abstract

In the comprehension of textual data, it is critical for people to perceive relationships between topics. This work explores two approaches that use text categorizations to reveal underlying relationships: the Overlap approach, which
visualizes overlaps between categories, and the Search approach, which shows topical search results in the context of categories. The effectiveness of these approaches is tested using various types of relationship questions. Our results show that the Overlap approach improves users’ performances in relationship exploration tasks. Conversely, the Search approach did not show the same effectiveness, primarily due to the Vocabulary Problem. Design implications are drawn from the experiment.

Keywords:text categorization ; overlap approach ; search approach
Subjects:I. Information treatment for information services > IB. Content analysis (A and I, class.)
ID Code:8498
Deposited By:Medeiros, Norm
Deposited On:16 January 2007
All fields:Show all fields

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