Development of the Machine Learning Algorithm to Identify the Style of a Literary Text

Student: Tsypliaev Aleksandr

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2017

The paper provides creation and description of the machine learning text processing algorithm, which can be used during the author identifying process. The number of research methods, which can be used during the machine learning algorithms development is presented. Also, the details of implementation of the machine leaning algorithm are described. The most important contribution of the study is the development of the viable algorithm which can identify the author of the text without any additional information about the suggested text given.

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