Recognizing contextual polarity in phrase-level sentiment analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A class-feature-centroid classifier for text categorization
Proceedings of the 18th international conference on World wide web
Stylometric features for emotion level classification in news related blogs
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Measuring the quality of web content using factual information
Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality
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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.