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Development of the Method of Application of Thematic Mapping Techniques to the Electronic Petitions Analysis

Student: Nikita Babkin

Supervisor: Alexander Porshnev

Faculty: Faculty of Humanities (Nizhny Novgorod)

Educational Programme: Fundamental and Applied Linguistics (Bachelor)

Year of Graduation: 2019

In the modern world, the problem of automating the analysis of various texts is very relevant, due to the exponential growth of information volumes. The traditional linguistic methods are being replaced by methods of computer text analysis using machine learning. These methods are closely related to information extraction and data mining. One of such computer tools is thematic models. The natural question arises about the differences and effectiveness of natural language text analysis methods, this question is the main subject of this work.

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