Multilingual Sentiment Analysis and Toxicity Detection for Text Messages in Russian

• Published in: 2021 29th Conference of Open Innovations Association (FRUCT) Vol. 29; no. 1; pp. 55 - 64
• Main Authors: Bogoradnikova, Darya, Makhnytkina, Olesia, Matveev, Anton, Zakharova, Anastasia, Akulov, Artem
• Format: Conference Proceeding Journal Article
• Language: English
• Published: FRUCT 12.05.2021
• Subjects: Adaptation models; multilingual model; Pipelines; Sentiment analysis; Support vector machines; Technological innovation; topic modeling; toxicity detection; Toxicology; Training

In this paper, we discuss an approach to sentiment analysis and emotion identification for user comments. The solution is threefold: 1) topic detection, 2) sentiment evaluation, 3) toxicity detection and toxic spans localization. The lack of significantly large training data for the Russian language...