Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
ML-KNN: A lazy learning approach to multi-label learning
Pattern Recognition
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Automatic text classification is still a challenging in the literature, specially for multi-label classification. In this work we evaluate the performance of the Multi-Label k-Nearest Neighbor algorithm for a multi-labeled dataset with more than 1,000 possible labels to be assigned to each one of the documents in the dataset. The results are promising.