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Springer International Publishing
Reference16 articles.
1. Abdul-Mageed, M., Ungar, L.: Emonet: Fine-grained emotion detection with gated recurrent neural networks. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, vol. 1: Long papers, pp. 718–728 (2017)
2. Canales, L., Strapparava, C., Boldrini, E., Martnez-Barco, P.: Exploiting a bootstrapping approach for automatic annotation of emotions in texts. In: 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp. 726–734. IEEE (2016)
3. Chatterjee, A., Narahari, K.N., Joshi, M., Agrawal, P.: Semeval-2019 task 3: emocontext contextual emotion detection in text. In: Proceedings of the 13th International Workshop on Semantic Evaluation, pp. 39–48 (2019)
4. Ekman, P.: Expression and the nature of emotion. Approaches Emot. 3(19), 344 (1984)
5. Gaind, B., Syal, V., Padgalwar, S.: Emotion detection and analysis on social media (2019). arXiv preprint arXiv:1901.08458.
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