Abstract
The paper describes an approach to automatic classification problem using J.S. Mill’s ideas of inductive logic. The technique uses the general principles (but not the technical details) of the JSM method of automatic hypothesis generation. The proposed method uses some induction procedure to form generic positive and generic negative objects (represented as vectors) and an analogy procedure to classify new documents. With an optimal selection of text preprocessing options, the suggested approach shows better precision than other implemented text classification methods.
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Lyfenko, N. (2016). Automatic Document Classification Based on J.S. Mill’s Ideas. In: Abraham, A., Kovalev, S., Tarassov, V., Snášel, V. (eds) Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16). Advances in Intelligent Systems and Computing, vol 450. Springer, Cham. https://doi.org/10.1007/978-3-319-33609-1_19
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DOI: https://doi.org/10.1007/978-3-319-33609-1_19
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