Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Neural Network Approach in the Task of Multi-label Classification of User Posts in Online Social Networks. / Oliseenko, Valerii D.; Tulupyeva, Tatiana V.
Proceedings of 2021 24th International Conference on Soft Computing and Measurements, SCM 2021. ed. / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2021. p. 46-48 9507148.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Neural Network Approach in the Task of Multi-label Classification of User Posts in Online Social Networks
AU - Oliseenko, Valerii D.
AU - Tulupyeva, Tatiana V.
N1 - Publisher Copyright: © 2021 IEEE.
PY - 2021/5/26
Y1 - 2021/5/26
N2 - This paper focuses on the issue of automating the multi-label classification of users' text posts in online social networks. This classification is based on previously developed criteria to correlate post types with the evaluation of the severity of psychological features of the user. The presented model for classification is based on a neural network with long short-term memory architecture. The results will help to partially automate the process of making recommendations to improve the protection of users from social engineering attacks.
AB - This paper focuses on the issue of automating the multi-label classification of users' text posts in online social networks. This classification is based on previously developed criteria to correlate post types with the evaluation of the severity of psychological features of the user. The presented model for classification is based on a neural network with long short-term memory architecture. The results will help to partially automate the process of making recommendations to improve the protection of users from social engineering attacks.
KW - information security
KW - multi-label classification
KW - neural networks
KW - online social networks
KW - social engineering attacks
KW - user protection
UR - http://www.scopus.com/inward/record.url?scp=85114021862&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/2173de62-6ab7-3796-b6a3-eea92fbad281/
U2 - 10.1109/scm52931.2021.9507148
DO - 10.1109/scm52931.2021.9507148
M3 - Conference contribution
AN - SCOPUS:85114021862
SP - 46
EP - 48
BT - Proceedings of 2021 24th International Conference on Soft Computing and Measurements, SCM 2021
A2 - Shaposhnikov, S.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Conference on Soft Computing and Measurements, SCM 2021
Y2 - 26 May 2021 through 28 May 2021
ER -
ID: 85483135