A Strategy for Training Set Selection in Text Classification Problems

Abstract

An issue in text classification problems involves the choice of good samples on which to train the classifier. Training sets that properly represent the characteristics of each class have a better chance of establishing a successful predictor. Moreover, sometimes data are redundant or take large amounts of computing time for the learning process. To… (More)

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@inproceedings{Passini2013ASF, title={A Strategy for Training Set Selection in Text Classification Problems}, author={Maria Luiza C. Passini and Katiusca B. Est{\'e}banez and Grazziela Patrocinio Figueredo and Nelson F. F. Ebecken}, year={2013} }