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Experiments in sophisticated content analysis

Published: 04 June 1973 Publication History

Abstract

In recent years, natural language data processing research and development has turned away from its earlier goals of fully-automatic high-quality translation, and similarly unmanageable tasks, toward the construction of computational tools for a variety of more practical applications. At the Center for Computer-Based Behavioral Studies at UCLA, such tools are being used in the analysis of message sets originating in experimental gaming situations, studies of social interaction, group simulations, as well as for the analysis of outside documents of interest.
A central tool in these studies is the so-called Stanford Inquirer, a more sophisticated version of the earlier General Inquirer. The use of the Stanford Inquirer has heretofore involved considerable costs in time and money for the manual pre-coding of the object texts---an essential step in the identification of the "themes" of interest in the text. Besides being expensive, this manual text encoding has been subject to inter-code inconsistency and bias. Through automated interactive theme encoding, the Center is working to overcome these obstacles to effective, large-scale text analysis. In addition, these text processing tools are being shaped for other applications, such as automated document classification and routing.
Two approaches are called sequential coding and the other based on the Woods-Kaplan transition network analyzer will be discussed.
  1. Experiments in sophisticated content analysis

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    AFIPS '73: Proceedings of the June 4-8, 1973, national computer conference and exposition
    June 1973
    936 pages
    ISBN:9781450379168
    DOI:10.1145/1499586
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    New York, NY, United States

    Publication History

    Published: 04 June 1973

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