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2007
Springer

Emotion Classification Using Web Blog Corpora

9 years 6 months ago
Emotion Classification Using Web Blog Corpora
In this paper, we investigate the emotion classification of web blog corpora using support vector machine (SVM) and conditional random field (CRF) machine learning techniques. The emotion classifiers are trained at the sentence level and applied to the document level. Our methods also determine an emotion category by taking the context of a sentence into account. Experiments show that CRF classifiers outperform SVM classifiers. When applying emotion classification to a blog at the document level, the emotion of the last sentence in a document plays an important role in determining the overall emotion.
Changhua Yang, Kevin Hsin-Yih Lin, Hsin-Hsi Chen
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where WEBI
Authors Changhua Yang, Kevin Hsin-Yih Lin, Hsin-Hsi Chen
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