作者
Diana Gaifulina, Alexander Branitskiy, Dmitry Levshun, Elena Doynikova, Igor Kotenko
发表日期
2022/9/14
图书
International Symposium on Intelligent and Distributed Computing
页码范围
203-212
出版商
Springer International Publishing
简介
The paper considers the posts’ sentiment in the social network communities in the context of correlation with possible destructive impacts. Under the destructive impacts the authors understand the impacts that can “provoke aggressive actions and aggressive behavior in relation to others or yourself”. The paper describes an approach to the determination of posts’ sentiment. The authors propose an additional feature for the detection of destructive impacts of social network communities based on posts’ sentiment. The experiments were conducted to test the sentiment analysis models, to analyse the proposed feature based on posts’ sentiment, and test the classifier for the detection of the potentially destructive impacts. The analysis of the correlation of the proposed feature with the communities that have potentially destructive impacts on anxiety is conducted. The analysis of the obtained results is provided. During the …
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D Gaifulina, A Branitskiy, D Levshun, E Doynikova… - International Symposium on Intelligent and Distributed …, 2022