In this paper document classification methods using multinomial na¨ıve Bayes are improved in a number of ways. We use the value weighting method, a new fine-grained weighting method, to calculate the weights of the feature values. Our experiments show that the proposed approach outperforms other state-of-the-art methods.
CITATION STYLE
Song, S. H., & Lee, C. H. (2015). Improving document classification using fine-grained weights. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9101, pp. 488–492). Springer Verlag. https://doi.org/10.1007/978-3-319-19066-2_47
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