Classification of Twitter social network expert users
DOI: 10.21293/1818-0442-2019-22-2-61-66
Abstract: The behavior of social network trolls and the necessity of influential users’ behavior evaluation are considered. The process of behavior profiles creation and analysis is presented. Behavior profiles are created by analysis of text messages and stored as real-value vectors. Ensemble classifier is used for evaluation of text data sentiment. Results of behavior profiles clustering are shown and discussed.
Keywords: ensemble classifier, expert user, behavior profile, internet troll, social network
For citation:
Banokin P. I., Luneva E. E., Efremov A. A. Classification of Twitter social network expert users. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2019, vol. 22, no. 2, pp. 61–66. DOI: 10.21293/1818-0442-2019-22-2-61-66
Authors and copyright holders:
- Banokin P. I. , Tomsk State University of Control Systems and Radioelectronics (Tomsk, Russia)
- Luneva E. E.
- Efremov A. A.
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