Felipe Viegas

According to our database, Felipe Viegas authored at least 25 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Pipelining Semantic Expansion and Noise Filtering for Sentiment Analysis of Short Documents - CluSent Method.

Felipe Viegas, Sérgio D. Canuto, Washington Cunha, Celso França, Cláudio M. V. de Andrade, Guilherme Fonseca, Ana Machado, Leonardo Rocha, Marcos André Gonçalves

J. Interact. Syst., 2024

PATopics: An automatic framework to extract useful information from pharmaceutical patents documents.

Pablo Cecilio, Antônio Perreira, Juliana Santos Rosa Viegas, Washington Cunha, Felipe Viegas, Elisa Tuler, Fabiana Testa Moura de Carvalho Vicentini, Leonardo Rocha

CoRR, 2024

2023

On the class separability of contextual embeddings representations - or "The classifier does not matter when the (text) representation is so good!".

Cláudio Moisés Valiense de Andrade, Fabiano Belém, Washington Cunha, Celso França, Felipe Viegas, Leonardo Rocha, Marcos André Gonçalves

Inf. Process. Manag., 2023

A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification.

Washington Cunha, Felipe Viegas, Celso França, Thierson Rosa, Leonardo Rocha, Marcos André Gonçalves

ACM Comput. Surv., 2023

CluSent - Combining Semantic Expansion and De-Noising for Dataset-Oriented Sentiment Analysis of Short Texts.

Felipe Viegas, Sérgio D. Canuto, Washington Cunha, Celso França, Cláudio Moisés Valiense de Andrade, Leonardo Rocha, Marcos André Gonçalves

Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

Evaluating the Limits of the Current Evaluation Metrics for Topic Modeling.

Antônio Pereira De Souza Júnior, Felipe Viegas, Marcos André Gonçalves, Leonardo Rocha

Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

2022

Semantic Academic Profiler (SAP): a framework for researcher assessment based on semantic topic modeling.

Felipe Viegas, Antônio Pereira De Souza Júnior, Pablo Cecilio, Elisa Tuler, Wagner Meira Jr., Marcos André Gonçalves, Leonardo Rocha

Scientometrics, 2022

Evaluating Topic Modeling Pre-processing Pipelines for Portuguese Texts.

Antônio Pereira De Souza Júnior, Pablo Cecilio, Felipe Viegas, Washington Cunha, Elisa Tuler de Albergaria, Leonardo Chaves Dutra da Rocha

Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

2021

On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study.

Washington Cunha, Vítor Mangaravite, Christian Gomes, Sérgio D. Canuto, Elaine Resende, Cecilia Nascimento, Felipe Viegas, Celso França, Wellington Santos Martins, Jussara M. Almeida, Thierson Rosa, Leonardo Rocha, Marcos André Gonçalves

Inf. Process. Manag., 2021

An Article-Oriented Framework for Automatic Semantic Analysis of COVID-19 Researches.

Antonio Pedro, Antônio Pereira De Souza Júnior, Pablo Cecilio, Nayara Pena, Felipe Viegas, Elisa Tuler, Diego Dias, Leonardo Rocha

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2020

Exploiting semantic relationships for unsupervised expansion of sentiment lexicons.

Felipe Viegas, Mário S. Alvim, Sérgio D. Canuto, Thierson Rosa, Marcos André Gonçalves, Leonardo Rocha

Inf. Syst., 2020

Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling.

Washington Cunha, Sérgio D. Canuto, Felipe Viegas, Thiago Salles, Christian Gomes, Vítor Mangaravite, Elaine Resende, Thierson Rosa, Marcos André Gonçalves, Leonardo Rocha

Inf. Process. Manag., 2020

CluHTM - Semantic Hierarchical Topic Modeling based on CluWords.

Felipe Viegas, Washington Cunha, Christian Gomes, Antônio Pereira De Souza Júnior, Leonardo Rocha, Marcos André Gonçalves

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling.

Felipe Viegas, Sérgio D. Canuto, Christian Gomes, Washington Luiz, Thierson Rosa, Sabir Ribas, Leonardo Rocha, Marcos André Gonçalves

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018

NetClass: A network-based relational model for document classification.

Fernando Mourão, Leonardo Rocha, Felipe Viegas, Thiago Salles, Marcos André Gonçalves, Srinivasan Parthasarathy, Wagner Meira Jr.

Inf. Sci., 2018

Exploiting efficient and effective lazy Semi-Bayesian strategies for text classification.

Felipe Viegas, Leonardo Rocha, Elaine Resende, Thiago Salles, Wellington Martins, Mateus Ferreira e Freitas, Marcos André Gonçalves

Neurocomputing, 2018

A Genetic Programming approach for feature selection in highly dimensional skewed data.

Felipe Viegas, Leonardo Rocha, Marcos André Gonçalves, Fernando Mourão, Giovanni Sá, Thiago Salles, Guilherme Andrade, Isac Sandin

Neurocomputing, 2018

A Feature-Oriented Sentiment Rating for Mobile App Reviews.

Washington Luiz, Felipe Viegas, Rafael Odon de Alencar, Fernando Mourão, Thiago Salles, Dárlinton B. F. Carvalho, Marcos André Gonçalves, Leonardo Rocha

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Semantically-Enhanced Topic Modeling.

Felipe Viegas, Washington Luiz, Christian Gomes, Amir Khatibi, Sérgio D. Canuto, Fernando Mourão, Thiago Salles, Leonardo Rocha, Marcos André Gonçalves

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

A Two-Stage Machine learning approach for temporally-robust text classification.

Thiago Salles, Leonardo Rocha, Fernando Mourão, Marcos André Gonçalves, Felipe Viegas, Wagner Meira Jr.

Inf. Syst., 2017

2016

A quantitative analysis of the temporal effects on automatic text classification.

Thiago Salles, Leonardo Rocha, Marcos André Gonçalves, Jussara M. Almeida, Fernando Mourão, Wagner Meira Jr., Felipe Viegas

J. Assoc. Inf. Sci. Technol., 2016

2015

G-KNN: an efficient document classification algorithm for sparse datasets on GPUs using KNN.

Leonardo Rocha, Gabriel Spada Ramos, Rodrigo Chaves, Rafael Sachetto Oliveira, Daniel Madeira, Felipe Viegas, Guilherme Andrade, Sérgio Daniel, Marcos André Gonçalves, Renato Ferreira

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Parallel Lazy Semi-Naive Bayes Strategies for Effective and Efficient Document Classification.

Felipe Viegas, Marcos André Gonçalves, Wellington Martins, Leonardo Rocha

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2013

GPU-NB: A Fast CUDA-Based Implementation of Naïve Bayes.

Guilherme Andrade, Felipe Viegas, Gabriel Spada Ramos, Jussara M. Almeida, Leonardo Chaves Dutra da Rocha, Marcos André Gonçalves, Renato Ferreira

Proceedings of the 25th International Symposium on Computer Architecture and High Performance Computing, 2013

2012

Aggressive and effective feature selection using genetic programming.

Isac Sandin, Guilherme Andrade, Felipe Viegas, Daniel Madeira, Leonardo Rocha, Thiago Salles, Marcos André Gonçalves

Proceedings of the IEEE Congress on Evolutionary Computation, 2012