Novosibirsk State University Journal of Information Technologies
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All Issues >> Contents: Volume 13, Issue No 2 (2015)

Text classification problem and features set
Igor Viktorovich Polyakov, Tatyana Vladimirovna Sokolova, Aleksandr Andreyevich Chepovsky, Andrei Mikhailovich Chepovsky

National Research University Higher School of Economics
UDC code: 519.248.6: 519.766.4

Abstract
This paper presents a text classification method based on mutual information method. It was shown that word stems are universal features for text classification problem.

Key Words
Text classification, Mutual information method

How to cite:
Polyakov I. V., Sokolova T. V., Chepovsky A. A., Chepovsky A. M. Text classification problem and features set // Vestnik NSU Series: Information Technologies. - 2015. - Volume 13, Issue No 2. - P. 55-63. - ISSN 1818-7900. (in Russian).

Full Text in Russian

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Publication information
Main title Vestnik NSU Series: Information Technologies, Volume 13, Issue No 2 (2015).
Parallel title: Novosibirsk State University Journal of Information Technologies Volume 13, Issue No 2 (2015).

Key title: Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriâ: Informacionnye tehnologii
Abbreviated key title: Vestn. Novosib. Gos. Univ., Ser.: Inf. Tehnol.
Variant title: Vestnik NGU. Seriâ: Informacionnye tehnologii

Year of Publication: 2015
ISSN: 1818-7900 (Print), ISSN 2410-0420 (Online)
Publisher: Novosibirsk State University Press
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