Development of a Multilingual Toxic Comment Classification Model

Student: Iakushechkin Dmitrii

Supervisor: Vyacheslav Zhukov

Educational Programme: Electronic Business (Master)

Year of Graduation: 2020

Master thesis examines theoretical and practical aspects of the process of toxic comments classification. The first chapter contains an analysis of the subject field: the concept of toxic comments, natural language processing tasks and problems, as well as a comparative analysis of existing approaches to solving of these problems. The second chapter includes forming of the approach to current research, in particular, the rationale for choosing models for natural language processing, the process of developing a deep learning model, and algorithms of two models used to solve the problem of this research - mBERT and XLM-RoBERTa. The third chapter contains the results of the work done on developing a model for comments classification and results analysis.

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