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Subjectivity classification for Portuguese

Grant number: 18/11479-9
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Start date: August 01, 2018
End date: May 31, 2019
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal Investigator:Thiago Alexandre Salgueiro Pardo
Grantee:Luiz Gabriel Ferreira
Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

We propose in this research project the study and implementation of some methods for automatic classification of subjectivity for the Portuguese language. The classification of subjectivity refers to the indication of sentences that clearly express feelings/opinions of its writer, as opposed by objective sentences, of factual content. This task has proved to be very important for the area of opinion mining, which is in charge of analyzing, mining and synthesizing relevant content from a collection of opinions on a particular topic of interest. This project has the potential to contribute to the area and to introduce the student to the scientific practice in a very relevant subject.

News published in Agência FAPESP Newsletter about the scholarship:
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BELISARIO, LUANA BALADOR; FERREIRA, LUIZ GABRIEL; SALGUEIRO PARDO, THIAGO ALEXANDRE. Evaluating Richer Features and Varied Machine Learning Models for Subjectivity Classification of Book Review Sentences in Portuguese. INFORMATION, v. 11, n. 9, . (18/11479-9)
BELISARIO, LUANA BALADOR; FERREIRA, LUIZ GABRIEL; SALGUEIRO PARDO, THIAGO ALEXANDRE; QUARESMA, P; VIEIRA, R; ALUISIO, S; MONIZ, H; BATISTA, F; GONCALVES, T. Evaluating Methods of Different Paradigms for Subjectivity Classification in Portuguese. COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, PROPOR 2020, v. 12037, p. 9-pg., . (18/11479-9)