Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2010

Lex Elisabeth, Granitzer Michael, Juffinger A., Muhr M.

Stylometric Features for Emotion Level Classification in News Related Blogs

Proceedings of the 9th ACM RIAO Conference , LE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE, 2010

Konferenz
Breaking news and events are often posted in the blogospherebefore they are published by any media agency. Therefore,the blogosphere is a valuable resource for news-relatedblog analysis. However, it is crucial to first sort out newsunrelatedcontent like personal diaries or advertising blogs.Besides, there are different levels of emotionality or involvementwhich bias the news information to a certain extent.In our work, we evaluate topic-independent stylometric featuresto classify blogs into news versus rest and to assess theemotionality in these blogs. We apply several text classifiersto determine the best performing combination of featuresand algorithms. Our experiments revealed that with simplestyle features, blogs can be classified into news versus restand their emotionality can be assessed with accuracy valuesof almost 80%.
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