Abstract
To support the gathering of information from various viewpoints, we focus on descriptions of named entities (persons, organizations, locations) in news articles. We propose methods to rank news articles based on analyzing difference in descriptions of named entities. We extend the stakeholder mining proposed by Ogawa et al. and extract descriptions of named entities in articles. Then, four ranking measures (relatedness, diversity, difference of polarity, diffeence of detailedness) are calculated by analyzing the presence or absence of named entities, the coverage of topics and the polarity of descriptions. We carry out user study and experiments to validate our methods.
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References
Ogawa, T., Ma, Q., Yoshikawa, M.: News Bias Analysis Based on Stakeholder Mining. IEICE Transactions 94–D, 578–586 (2011)
Xu, L., Ma, Q., Yoshikawa, M.: A Cross-Media Method of Stakeholder Extraction for News Contents Analysis. In: Chen, L., Tang, C., Yang, J., Gao, Y. (eds.) WAIM 2010. LNCS, vol. 6184, pp. 232–237. Springer, Heidelberg (2010)
Park, S., Kang, S., Song, S.C.J.: Newscube: delivering multiple aspects of news to mitigate media bias. In: Proceedings of the 27th International Conference on Humanfactors in Computing Systems, pp. 443–452 (2009)
Nadamoto, A., Tanaka, K.: A Comparative Web Browser (CWB) for Browsing and Comparing Web Pages. In: Proceedings of the 12th International Conference on World Wide Web, pp. 727–735. ACM (2003)
Ma, Q., Yoshikawa, M.: Topic and viewpoint extraction for diversity and bias analysis of news contents. In: Li, Q., Feng, L., Pei, J., Wang, S.X., Zhou, X., Zhu, Q.-M. (eds.) APWeb/WAIM 2009. LNCS, vol. 5446, pp. 150–161. Springer, Heidelberg (2009)
Ishida, S., Ma, Q., Yoshikawa, M.: Analysis of news agencies’ descriptive features of people and organizations. In: Bhowmick, S.S., Küng, J., Wagner, R. (eds.) DEXA 2009. LNCS, vol. 5690, pp. 745–752. Springer, Heidelberg (2009)
De Marneffe, M.-C., Manning, C.D.: StanfordCoreNLP (2008), http://nlp.stanford.edu/software/dependenciesmanual.pdf
Esuli, A., Sebastiani, F.: Sentiwordnet: A publicly available lexical resource for opinion mining. In: Proceeding of the 5th Conference on Language Resources and Evaluation, pp. 417–422 (2006)
Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet Allocation. The Journal of Machine Learning Research 3, 993–1022 (2003)
Jarvelin, K., Kekalainen, J.: Cumulated Gain-based Evaluation of IR Techniques. ACM Trans. Inf. Syst. 20, 422–446 (2002)
Ramage, D.: Stanford topic modeling toolbox 0.4 (2013), http://nlp.stanford.edu/software/tmt
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Kiritoshi, K., Ma, Q. (2014). Named Entity Oriented Related News Ranking. In: Decker, H., Lhotská, L., Link, S., Spies, M., Wagner, R.R. (eds) Database and Expert Systems Applications. DEXA 2014. Lecture Notes in Computer Science, vol 8645. Springer, Cham. https://doi.org/10.1007/978-3-319-10085-2_7
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DOI: https://doi.org/10.1007/978-3-319-10085-2_7
Publisher Name: Springer, Cham
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