Description
A major challenge in automated text analysis is that different words are used for related concepts. Analyzing text at the surface level would treat related concepts (i.e. actors, actions, targets, and victims) as different objects, potentially missing common narrative patterns. Generalized concepts are used to overcome this problem.
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Contributors
- Kedia, Nitesh (Author)
- Davulcu, Hasan (Thesis advisor)
- Corman, Steve R (Committee member)
- Li, Baoxin (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2015
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Note
- Partial requirement for: M.S., Arizona State University, 2015Note typethesis
- Includes bibliographical references (page 19)Note typebibliography
- Field of study: Computer science
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Statement of Responsibility
by Nitesh Kedia