Emotions and Monoamines: New Approach to the Emotional Text Classification in Sentiment Analysis
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-71637-0_43
Reference23 articles.
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2. Liu, Y., Huang, X., An, A., Yu, X.: ARSA: a sentiment-aware model for predicting sales performance using blogs. In: Kraaij, W., de Vries, A.P. (eds.) Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, session 25, pp. 607–614. ACM, New York (2007). https://doi.org/10.1145/1277741.1277845
3. Staiano, J., Guerini, M.: DepecheMood: A lexicon for emotion analysis from crowd-annotated news. In: Toutanova, K., Wu, H. (eds.) Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), pp. 427–433. Association for Computational Linguistics, Baltimore (2014). https://doi.org/10.3115/v1/P14-2070
4. Thamm, R.A.: The Classification of Emotions. In: Stets, J.E., Turner, J.H. (eds.) Handbook of the Sociology of Emotions. Handbooks of Sociology and Social Research, pp. 11–37. Springer, Boston (2006). https://doi.org/10.1007/978-0-387-30715-2_2
5. Darwin, C.: The Expression of the Emotions in Man and Animals, 3rd edn. Oxford University Press, London (1872)
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