Automatic Detection of Implicit Aggression in Russian Social Media Comments

Ch. 61. P. 636–646.

Shulginov V., Mustafin R., Tillabaeva A.

This article studies the characteristics of implicit and explicit types of aggression in the comments of a Russian social network with the means of machine learning. As it is hypothesized that expression of aggression depends on local norms, the dataset contains the comments collected from a single social media community. These comments were divided into three classes: polite communication, implicit aggression, and explicit aggression. Trying different combinations of data preprocessing, we discovered that lemmatization and replacement emojis with placeholders contribute to better results. We tested several models (Naive Bayes, Logistic Regression, Linear Classifiers with SGD Training, Random Forest, XGBoost, RuBERT) and compared their results. The study describes the misclassifications and compares the keywords of each c

Keywords: social media, linguistic politeness

In book

Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог». Выпуск 20

Vol. 20. , Russian State University for the Humanitie, 2021.