Felipe Viegas

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 22

Top Topics

Text Classification

Top Venues

Inf. Process. Manag.

Publications

Felipe Viegas, Sérgio D. Canuto, Washington Cunha, Celso França, Cláudio M. V. de Andrade, Guilherme Fonseca, Ana Machado, Leonardo Rocha, Marcos André Gonçalves
Pipelining Semantic Expansion and Noise Filtering for Sentiment Analysis of Short Documents - CluSent Method. J. Interact. Syst. 15 (1) (2024)
Washington Cunha, Felipe Viegas, Celso França, Thierson Rosa, Leonardo Rocha, Marcos André Gonçalves
A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification. ACM Comput. Surv. 55 (13s) (2023)
Antônio Pereira De Souza Júnior, Felipe Viegas, Marcos André Gonçalves, Leonardo Rocha
Evaluating the Limits of the Current Evaluation Metrics for Topic Modeling. WebMedia (2023)
Felipe Viegas, Sérgio D. Canuto, Washington Cunha, Celso França, Cláudio Moisés Valiense de Andrade, Leonardo Rocha, Marcos André Gonçalves
CluSent - Combining Semantic Expansion and De-Noising for Dataset-Oriented Sentiment Analysis of Short Texts. WebMedia (2023)
Cláudio Moisés Valiense de Andrade, Fabiano Belém, Washington Cunha, Celso França, Felipe Viegas, Leonardo Rocha, Marcos André Gonçalves
On the class separability of contextual embeddings representations - or "The classifier does not matter when the (text) representation is so good!". Inf. Process. Manag. 60 (4) (2023)
Antônio Pereira De Souza Júnior, Pablo Cecilio, Felipe Viegas, Washington Cunha, Elisa Tuler de Albergaria, Leonardo Chaves Dutra da Rocha
Evaluating Topic Modeling Pre-processing Pipelines for Portuguese Texts. WebMedia (2022)
Felipe Viegas, Antônio Pereira De Souza Júnior, Pablo Cecilio, Elisa Tuler, Wagner Meira Jr., Marcos André Gonçalves, Leonardo Rocha
Semantic Academic Profiler (SAP): a framework for researcher assessment based on semantic topic modeling. Scientometrics 127 (8) (2022)
Antonio Pedro, Antônio Pereira, Pablo Cecilio, Nayara Pena, Felipe Viegas, Elisa Tuler, Diego Dias, Leonardo Rocha
An Article-Oriented Framework for Automatic Semantic Analysis of COVID-19 Researches. ICCSA (3) (2021)
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
On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study. Inf. Process. Manag. 58 (3) (2021)
Felipe Viegas, Washington Cunha, Christian Gomes, Antônio Pereira, Leonardo Rocha, Marcos André Gonçalves
CluHTM - Semantic Hierarchical Topic Modeling based on CluWords. ACL (2020)
Felipe Viegas, Mário S. Alvim, Sérgio D. Canuto, Thierson Rosa, Marcos André Gonçalves, Leonardo Rocha
Exploiting semantic relationships for unsupervised expansion of sentiment lexicons. Inf. Syst. 94 (2020)
Washington Cunha, Sérgio D. Canuto, Felipe Viegas, Thiago Salles, Christian Gomes, Vítor Mangaravite, Elaine Resende, Thierson Rosa, Marcos André Gonçalves, Leonardo Rocha
Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling. Inf. Process. Manag. 57 (4) (2020)
Felipe Viegas, Sérgio D. Canuto, Christian Gomes, Washington Luiz, Thierson Rosa, Sabir Ribas, Leonardo Rocha, Marcos André Gonçalves
CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling. WSDM (2019)
Felipe Viegas, Leonardo Rocha, Elaine Resende, Thiago Salles, Wellington Martins, Mateus Ferreira e Freitas, Marcos André Gonçalves
Exploiting efficient and effective lazy Semi-Bayesian strategies for text classification. Neurocomputing 307 (2018)
Felipe Viegas, Washington Luiz, Christian Gomes, Amir Khatibi, Sérgio D. Canuto, Fernando Mourão, Thiago Salles, Leonardo Rocha, Marcos André Gonçalves
Semantically-Enhanced Topic Modeling. CIKM (2018)
Felipe Viegas, Leonardo Rocha, Marcos André Gonçalves, Fernando Mourão, Giovanni Sá, Thiago Salles, Guilherme Andrade, Isac Sandin
A Genetic Programming approach for feature selection in highly dimensional skewed data. Neurocomputing 273 (2018)
Fernando Mourão, Leonardo Rocha, Felipe Viegas, Thiago Salles, Marcos André Gonçalves, Srinivasan Parthasarathy, Wagner Meira Jr.
NetClass: A network-based relational model for document classification. Inf. Sci. 469 (2018)
Washington Luiz, Felipe Viegas, Rafael Odon de Alencar, Fernando Mourão, Thiago Salles, Dárlinton B. F. Carvalho, Marcos André Gonçalves, Leonardo Rocha
A Feature-Oriented Sentiment Rating for Mobile App Reviews. WWW (2018)
Thiago Salles, Leonardo Rocha, Fernando Mourão, Marcos André Gonçalves, Felipe Viegas, Wagner Meira Jr.
A Two-Stage Machine learning approach for temporally-robust text classification. Inf. Syst. 69 (2017)
Thiago Salles, Leonardo Rocha, Marcos André Gonçalves, Jussara M. Almeida, Fernando Mourão, Wagner Meira Jr., Felipe Viegas
A quantitative analysis of the temporal effects on automatic text classification. J. Assoc. Inf. Sci. Technol. 67 (7) (2016)
Leonardo Rocha, Gabriel Spada Ramos, Rodrigo Chaves, Rafael Sachetto Oliveira, Daniel Madeira, Felipe Viegas, Guilherme Andrade, Sérgio Daniel, Marcos André Gonçalves, Renato Ferreira
G-KNN: an efficient document classification algorithm for sparse datasets on GPUs using KNN. SAC (2015)
Felipe Viegas, Marcos André Gonçalves, Wellington Martins, Leonardo Rocha
Parallel Lazy Semi-Naive Bayes Strategies for Effective and Efficient Document Classification. CIKM (2015)
Guilherme Andrade, Felipe Viegas, Gabriel Spada Ramos, Jussara M. Almeida, Leonardo Chaves Dutra da Rocha, Marcos André Gonçalves, Renato Ferreira
GPU-NB: A Fast CUDA-Based Implementation of Naïve Bayes. SBAC-PAD (2013)
Isac Sandin, Guilherme Andrade, Felipe Viegas, Daniel Madeira, Leonardo Rocha, Thiago Salles, Marcos André Gonçalves
Aggressive and effective feature selection using genetic programming. IEEE Congress on Evolutionary Computation (2012)