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.
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Ishida, S., Ma, Q., Yoshikawa, M. (2009). Analysis of News Agencies’ Descriptive Features of People and Organizations. In: Bhowmick, S.S., Küng, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2009. Lecture Notes in Computer Science, vol 5690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03573-9_62
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DOI: https://doi.org/10.1007/978-3-642-03573-9_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03572-2
Online ISBN: 978-3-642-03573-9
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