The Concept of Monitoring the Reliability of Information in the Professional Social Network Using a Convolutional Neural Network

被引：2
|
作者：
Katenko, Yuliya [1 ,2 ]
Petrenko, Sergey [1 ]
机构：
[1] St Petersburg Electrotech Univ LETI, Fac Comp Sci & Technol, St Petersburg, Russia
[2] BaltInfoCom, Software Dev Dept, St Petersburg, Russia
来源：
PROCEEDINGS OF 2019 XXII INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND MEASUREMENTS (SCM) | 2019年
关键词：
reliability of information; social networks; text classification; convolutional neural networks;
D O I：
10.1109/scm.2019.8903780
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The paper considers the problem of assessing the reliability of information in the social network. The paper deals with the existing approaches to the evaluation of the reliability of information, and suggests the approach based on the use of object classification methods. The paper describes the algorithm for creating and using the system for control of the reliability of information and suggests possible options for implementing this system.
引用
收藏
页码：263 / 265
页数：3
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