Abstract
In this work, we assess objectivity in online news media. We propose to use topic independent features and we show in a cross-domain experiment that with standard bag-of-word models, classifiers implicitly learn topics. Our experiments revealed that our methodology can be applied across different topics with consistent classification performance.
Cite
CITATION STYLE
APA
Lex, E., Juffinger, A., & Granitzer, M. (2010). Objectivity classification in online media. In HT’10 - Proceedings of the 21st ACM Conference on Hypertext and Hypermedia (pp. 293–294). https://doi.org/10.1145/1810617.1810681
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