Hierarchical Approach to Emotion Recognition and Classification in Texts
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-13059-5_7
Reference20 articles.
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3. Aman, S.: Identifying Expressions of Emotion in Text. Master’s thesis, University of Ottawa, Ottawa, Canada (2007)
4. Neviarouskaya, A., Prendinger, H., Ishizuka, M.: Compositionality Principle in Recognition of Fine-Grained Emotions from Text. In: Proc. Third International ICWSM Conference, pp. 278–281 (2009)
5. Alm, C.O., Roth, D., Sproat, R.: Emotions from text: machine learning for text- based emotion prediction. In: Proc. Joint Conference on Human Language Technology / Empirical Methods in Natural Language Processing (HLT/EMNLP 2005), Vancouver, Canada, pp. 579–586 (2005)
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