Detection of Bias in Media Outlets with Statistical Learning Methods - Text Mining: Classification, Clustering, and Applications - page 46

[7] Fortuna, B., Cristianini, N., and Shawe-Taylor, J. A Kernel Canonical
Correlation Analysis For Learning The Semantics Of Text. Kernel meth-
ods in bioengineering, communications and image processing, edited by
G. Camps-Valls, J. L. Rojo-Alvarez & M. Martinez-Ramn.
[8] Grobelnik, M. and Mladenic., D. Text Mining Recipes . Springer-Verlag,
Berlin; Heidelberg; New York (to appear), 2006 (accompanying software
available at http://www.textmining.ne t ).
[9] International Herald Tribune, http://www.iht.com
[10] Lin, W.-H., Wilson, T., Wiebe, J., and Hauptmann, A. Which Side
are You on? Identifying Perspectives at the Document and Sentence
Levels , Proceedings of the Tenth Conference on Computational Natural
Language Learning (CoNLL-2006), 2006.
[11] Lin, W.-H. and Hauptmann, A. Are These Documents Written from
Different Perspectives? A Test of Different Perspectives Based on Sta-
tistical Distribution Divergence , Proceedings of the 21st International
Conference on Computational Linguistics and 44th Annual Meeting of
the Association for Computational Linguistics, 2006.
[12] Thomas, M., Pang, B., and Lee, L. Get out the vote: Determining sup-
port or opposition from Congressional floor-debate transcripts Proceed-
ings of EMNLP, 2006.
[13] Joachims, T. Text categorization with support vector machines: learning
with many relevant features . In Claire Nedellec & Celine Rouveirol, ed-
itors, Proceedings of ECML-98, 10th European Conference on Machine
Learning, numero 1398 in Lecture Notes in Computer Science, pages
137-142, Chemnitz, DE, 1998. Springer Verlag, Heidelberg, DE.
[14] Shawe-Taylor, J. and Cristianini, N. Kernel Methods for Pattern Anal-
ysis . Cambridge University Press, 2004.
[15] Vinokourov, A., Shawe-Taylor, J., and Cristianini, N. Inferring a se-
mantic representation of text via cross-language correlation analysis .
Advances of Neural Information Processing Systems 15, 2002.
Acknowledgments
Part of the infrastrucure was developed with a grant from Fair Isaac Co.
and UC Davis. Blaz Fortuna was partly supported by the Slovenian Research
Agency and the IST Programme of the European Community under SEKT