E-raamat: Applications of Computer Content Analysis

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 that illustrate 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.

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 (booknews.com)

This volume presents exemplars of new methods and theoretical approaches for the analysis of digitized textual material via computer content analytic methods.