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Reducing the Annotation Burden in Text Classification AbstractIn this paper we describe a method which combines semi-supervised and active learning for the classification task. In particular, we propose a semi-supervised PLSA (Probabilistic Latent Semantic Analysis) algorithm, combined with a pool-based active learning method, in order to classify text documents.
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