Abstract
AbstractIn this paper we present the emotion annotation of 1.5 billion words Portuguese corpora, publicly available. We motivate the annotation process and detail the decisions made. The resource is evaluated, being applied to different areas: to study Lusophone literature, to obtain paraphrases, and to do genre comparison.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Linguistics and Language,Education,Language and Linguistics
Reference59 articles.
1. Acerbi, A., Lampos, V., Garnett, P., & Bentley, R. A. (2013). The expression of emotions in 20th century books. PLoS ONE, 8(3), e90972. https://doi.org/10.1371/journal.pone.0059030
2. Alm, C. O., Roth, D., & Sproat, R. (2005). Emotions from text: Machine learning for text-based emotion prediction. In Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (pp. 579–586). Association for Computational Linguistics.
3. Aman, S., & Szpakowicz, S. (2007). Identifying expressions of emotion in text. In V. Matousek & P. Mautner (Eds.), Text, Speech and Dialogue (TSD) (pp. 196–205). Berlin, Heidelberg: Springer.
4. Bick, E., & Didriksen, T. (2015). CG3 - beyond classical constraint grammar. In B. Megyesi (Ed.), 20th Nordic Conference of Computational Linguistics (NODALIDA) (pp. 31–39). Linköping University Electronic Press.
5. Bostan, L. A. M., & Klinger, R. (2018). An analysis of annotated corpora for emotion classification in text. In 27th International Conference on Computational Linguistics (pp. 2104–2119). Santa Fe, New Mexico, USA.
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