Abstract
The article deals with the method of automatic detection of authors ' gender identity on the material of fiction prose of 1980-2000. During this period, there is a special construct, called women's prose, which is characterized by a special genre and stylistic originality. We set ourselves the task to find out whether the concept of “women's prose” refers only to the non-text reality or is clearly reflected at the level of language. We have collected corpus of texts 1980-2000 and conducted that identified the most effective machine learning algorithms for the classification of male and female prose.
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