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,

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. Generalization may result into word sense disambiguation failing to find similarity. This is addressed by taking into account contextual synonyms.

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    Contributors
    Date Created
    • 2015
    Resource Type
  • Text
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    Note
    • Partial requirement for: M.S., Arizona State University, 2015
      Note type
      thesis
    • Includes bibliographical references (page 19)
      Note type
      bibliography
    • Field of study: Computer science

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    by Nitesh Kedia

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