Applications Of Computer Content Analysis

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The researcher in computer content analysis is often faced with a paucity of guidance in conducting a study. Published exemplars of best practice in computer content analysis are rare, and computer content analysis seems to have developed independently in a number of disciplines, with researchers in one field often unaware of new and innovative techniques developed by researchers in other areas. This volume contains numerous articles illustrating the current state of the art of computer content analysis. Research is presented by scholars in political science, natural resource management, mass communication, marketing, education, and other fields, with the aim of providing exemplars for further research on the computer analysis and understanding of textual materials.

The studies presented in Applications of Computer Content Analysis offer a varied spectrum of exemplary studies, Researchers can, due to the breadth of the studies presented here, find methodological, theoretical, and practical suggestions which will significantly ease the process of creating new research—and will significantly reduce the duplication of effort which has, until now, plagued computer content analytic research. Intended for an audience of graduate students, scholars, and in-field practitioners, this will serve as an invaluable resource, full of useful examples, for those interesting in using computers to analyze newspapers articles, emails, mediated communication, or any other sort of digital communication.

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Editorial Reviews

Ten essays describe the development and current state of computer content analysis, with an emphasis on providing directions for future research and innovation. Written for graduate students and practitioners in the field, the book discusses applied text theory, intersubjective semantic meanings, the use of computers to identify unknown authors, using neural networks to assess corporate image, gender language, the theme-matching document-clustering system, monitoring the social environment through news analysis, and media monitoring. Contributors include scholars in political science, natural resource management, communications, marketing, and education. Annotation c. Book News, Inc., Portland, OR (
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Product Details

Meet the Author

MARK D. WEST is Chair and Association Professor of Mass Communication at the University of North Carolina at Asherville.

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Table of Contents

1. Applied Text Theory: Quantitative Analysis of Answers to Open-Ended Questions 1
2. Building WorldView(s) with Profiler+ 17
3. Intersubjective Semantic Meanings Emergent in a Work Group: A Neural Network Content Analysis of Voice Mail 33
4. Using the Computer to Identify Unknown Authors 51
5. Using Neural Networks to Assess Corporate Image 65
6. Linking Gender Language in News about Presidential Candidates to Gender Gaps in Polls: A Time-Series Analysis of the 1996 Campaign 87
7. Semi-Automated Content Analysis of Pharmacist-Patient Interactions Using the Theme Machine Document-Clustering System 103
8. Monitoring the Social Environment Using Computer Content Analysis of Online News Media Text: An Example in Natural Resources 123
9. Computer and Human Coding of German Text on Attacks on Foreigners 145
10. Media Monitoring Using CETA: The Stock-Exchange Launches of KPN and WOL 165
Index 185
About the Editor and Contributors 193
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