A Sentiwordnet Strategy for Curriculum Learning in Sentiment Analysis

Author:

Rao Vijjini Anvesh,Anuranjana Kaveri,Mamidi Radhika

Publisher

Springer International Publishing

Reference32 articles.

1. Baccianella, S., Esuli, A., Sebastiani, F.: SentiWordNet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining. In: Lrec, vol. 10, pp. 2200–2204 (2010)

2. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014)

3. Bengio, Y., Louradour, J., Collobert, R., Weston, J.: Curriculum learning. In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 41–48. ACM (2009)

4. Choudhary, N., Singh, R., Rao, V.A., Shrivastava, M.: Twitter corpus of resource-scarce languages for sentiment analysis and multilingual emoji prediction. In: Proceedings of the 27th International Conference on Computational Linguistics, pp. 1570–1577 (2018)

5. Cirik, V., Hovy, E., Morency, L.P.: Visualizing and understanding curriculum learning for long short-term memory networks. arXiv preprint arXiv:1611.06204 (2016)

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