Analysis of News Agencies' Descriptive Features of People and Organizations

Authors:
Shin Ishida;Qiang Ma;Masatoshi Yoshikawa
Affiliations:
Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto, Japan 606-8501;Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto, Japan 606-8501;Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto, Japan 606-8501
Venue:
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Year:
2009

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Abstract

News agencies report news from different viewpoints and with different writing styles. We propose a method to extract characteristic descriptions of a news agency written about people and organizations. To extract the characteristic descriptions of a given person or organization, we analyze words which appear in the same sentence on the basis of their SVO roles. We then extract a description that is often used by the news agency but not commonly used by the others. The experimental results show that our method can elucidate the different features of each agency's writing style.