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Development of the neural network method for analyzing the literary text from the point of view of genre identification

机译:从体裁识别的角度分析文学文本的神经网络方法的发展

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The article studies the issue of identification of literary texts with artificial neural networks. We showed that artificial neural networks for solving the problem of classifying literary texts makes it possible to obtain a true result for determining the category of a text with a probability of 95%. However, determining the genre of a literary text is more difficult and in the worst case it is possible only with a probability of 75%.
机译:本文研究了用人工神经网络识别文学文本的问题。我们证明了通过人工神经网络解决文学文本分类问题,可以以95%的概率获得确定文本类别的真实结果。但是,确定文学文本的体裁比较困难,在最坏的情况下,仅可能达到75%的概率。

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