Language and the Internet
Learning to identify emotions in text
Proceedings of the 2008 ACM symposium on Applied computing
Developing Japanese WordNet Affect for analyzing emotions
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
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In this paper we describe the process of Russian and Romanian WordNet-Affect creation. WordNet-Affect is a lexical resource created on the basis of the Princeton WordNet which contains information about the emotions that the words convey. It is organized in six basic emotions: anger, disgust, fear, joy, sadness, surprise. We translated the WordNet-Affect synsets into Russian and Romanian and created an aligned English – Romanian – Russian lexical resource. The resource is freely available for research purposes.