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  • Text Documents Classificati...

    International journal of recent technology and engineering, 11/2019, Volume: 8, Issue: 2S11
    Journal Article

    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.