Text Documents Classification in Uzbek Language
O. J. Babomuradov Ozod1, N. S. Mamatov2, L. B. Boboev3, B. Otaxonova4
1O. J. Babomuradov Ozod, Tashkent University of Information Technologies, Named After Muhammad Al-Khwarizmi.
2N. S. Mamatov, Scientific and Innovation Center of Information and Communication Technologies, TUIT Named After Al-Kharezmi, Tashkent, Uzbekistan.
3L. B. Boboev, Scientific and Innovation Center of Information and Communication Technologies, TUIT Named After Al-Kharezmi, Tashkent, Uzbekistan.
4B. Otaxonova, Tashkent University of Information Technologies, Named After Muhammad Al-Khwarizmi.
Manuscript received on 20 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3787-3789 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B14930982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1493.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This article deals with intellectual analyzing technologies, which classify texts in Uzbek language, in which the Bernoulli and multi-nominal models are considered. The textual documents used in this research are from the authentic sources of The State National Information Agency of Uzbekistan. To compare the probability methods of classification, 600 documents of 6 types of categories, with 169205 words, have been used.
Keywords: Uzbek Language, Classification.
Scope of the Article: Classification