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Analysis of News Agencies’ Descriptive Features of People and Organizations

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 5690)

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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  • DOI: 10.1007/978-3-642-03573-9_62
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References

  1. Souneil, P., Seungwoo, K., Sangyoung, C., Junehwa, S.: NewsCube: Delivering Multiple Aspects of News to Mitigate Media Bias. In: Proc. of the 27th international conference on Human factors in computing systems, pp. 443–452 (2009)

    Google Scholar 

  2. Nadamoto, A., Tanaka, K.: A comparative web browser (CWB) for browsing and comparing web pages. In: Proc. of the 12th international conference on World Wide Web, pp. 727–735 (2003)

    Google Scholar 

  3. Ma, Q., Yoshikawa, M.: Topic and Viewpoint Extraction for Diversity and Bias Analysis of News Contents. In: APWebWAIM 2009. LNCS, vol. 5446, pp. 152–160. Springer, Heidelberg (2009)

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  4. Hamasuna, Y., Kawai, Y., Kumamoto, T., Tanaka, K.: Using a Sentiment Map for Visualization of Web Site Distinction (in Japanese). In: Proceedings of Data Engineering Workshop, B6–B4 (2008)

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  5. Aoki, S., Yumoto, T., Sumiya, K., Nii, M., Takahashi, Y.: Extracting Author Intention based on Peculiarity Parts in Related News Articles (in Japanese), 2008-DBS-146, pp. 187–192 (2008)

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  6. syncha, http://cl.naist.jp/ryu-i/syncha/

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© 2009 Springer-Verlag Berlin Heidelberg

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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

  • eBook Packages: Computer ScienceComputer Science (R0)