Abstract
This paper presents the study and comparison of methods of different paradigms to perform subjectivity classification of sentences in Portuguese. This task is part of the sentiment analysis area and consists of automatically identifying the presence or not of opinative information in texts of interest. We have investigated methods based on sentiment lexicons, graphs, machine learning and word embeddings, using datasets of different domains. We achieve good results, outperforming the previous approaches for Portuguese.
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Acknowledgments
The authors are grateful to FAPESP (2018/11479-9) and USP Research Office (PRP 668) for supporting this work.
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Belisário, L.B., Ferreira, L.G., Pardo, T.A.S. (2020). Evaluating Methods of Different Paradigms for Subjectivity Classification in Portuguese. In: Quaresma, P., Vieira, R., Aluísio, S., Moniz, H., Batista, F., Gonçalves, T. (eds) Computational Processing of the Portuguese Language. PROPOR 2020. Lecture Notes in Computer Science(), vol 12037. Springer, Cham. https://doi.org/10.1007/978-3-030-41505-1_25
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DOI: https://doi.org/10.1007/978-3-030-41505-1_25
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