Roney Lira de Sales Santos

Orcid: 0000-0001-9562-0605

According to our database1, Roney Lira de Sales Santos authored at least 13 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Team PiLN at ABSAPT 2022: Lexical and BERT Strategies for Aspect-Based Sentiment Analysis in Portuguese.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

Public Administration Suppliers Classification Model Based on Supervised Machine Learning.
Proceedings of the SBSI: XVIII Brazilian Symposium on Information Systems, Curitiba, Brazil, May 16, 2022

2020
Towards automatically filtering fake news in Portuguese.
Expert Syst. Appl., 2020

Linguistic Analysis Model for Monitoring User Reaction on Satirical News for Brazilian Portuguese.
Proceedings of the Computational Processing of the Portuguese Language, 2020

Fact-Checking for Portuguese: Knowledge Graph and Google Search-Based Methods.
Proceedings of the Computational Processing of the Portuguese Language, 2020

Measuring the Impact of Readability Features in Fake News Detection.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019
A Study of the Influence of Textual Features in Learning Medical Prior Authorization.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018
Contributions to the Study of Fake News in Portuguese: New Corpus and Automatic Detection Results.
Proceedings of the Computational Processing of the Portuguese Language, 2018

2017
An Approach for Defining the Author Reputation of Comments on Products.
Proceedings of the Natural Language Processing and Information Systems, 2017

2016
Predicting Portuguese Steam Review Helpfulness Using Artificial Neural Networks.
Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016

Automatic labelling of clusters with discrete and continuous data using supervised machine learning.
Proceedings of the 35th International Conference of the Chilean Computer Science Society, 2016

Evaluating the importance of Web comments through metrics extraction and opinion mining.
Proceedings of the 35th International Conference of the Chilean Computer Science Society, 2016

An experimental study based on Fuzzy Systems and Artificial Neural Networks to estimate the importance of reviews about product and services.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016


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