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JOURNALS // Preprints of the Keldysh Institute of Applied Mathematics // Archive

Keldysh Institute preprints, 2017 106, 22 pp. (Mi ipmp2322)

This article is cited in 2 papers

Classification of text information with the use of bigram analysis

L. A. Borisov, A. Yu. Ivchenko, N. A. Mitin, Yu. N. Orlov


Abstract: In this paper we consider examples of applying the method of spectral analysis of nonsymmetric matrices to construct indicators of classification in the structuring of textual information. The split indicator is the value of the cosine of the angle between the left and right eigenvectors, corresponding respectively to the minimum and maximum real eigenvalues of the stochastic matrix of conditional bigrams.

Keywords: stochastic matrix, spectral portrait, text classification.

DOI: 10.20948/prepr-2017-106



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