A Deep Learning Approach for Aspect Sentiment Triplet Extraction in Portuguese
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-91699-2_24
Reference32 articles.
1. Aires, J.P., Padilha, C., Quevedo, C., Meneguzzi, F.: A deep learning approach to classify aspect-level sentiment using small datasets. In: 2018 International Joint Conference on Neural Networks (IJCNN), pp. 1–8. IEEE (2018)
2. Balage Filho, P.P.: Aspect extraction in sentiment analysis for Portuguese language. Ph.D. thesis, Universidade de Sao Paulo (2017)
3. Bekoulis, G., Deleu, J., Demeester, T., Develder, C.: Joint entity recognition and relation extraction as a multi-head selection problem. Expert Syst. Appl. 114, 34–45 (2018)
4. Cardoso, B., Pereira, D.: Evaluating an aspect extraction method for opinion mining in the Portuguese language. In: Anais do VIII Symposium on Knowledge Discovery, Mining and Learning, pp. 137–144. SBC (2020)
5. Cui, Z., Maojie, Z.: Aspect level sentiment classification based on double attention mechanism. In: Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science. EBIMCS 2019. Association for Computing Machinery, New York (2019). https://doi.org/10.1145/3377817.3377834
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