Monitoring and Recognizing Enterprise Public Opinion from High-Risk Users Based on User Portrait and Random Forest Algorithm

Monitoring and Recognizing Enterprise Public Opinion from High-Risk Users Based on User Portrait and Random Forest Algorithm

With the rapid development of “We media” technology, netizens can freely express their opinions regarding enterprise products on a network platform. Consequently, online public opinion about enterprises has become a prominent issue. Negative comments posted by some netizens may trigger negative publ...

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Bibliographic Details
Main Authors: Tinggui Chen, Xiaohua Yin, Lijuan Peng, Jingtao Rong, Jianjun Yang, Guodong Cong
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Axioms
Subjects:
product user experience
enterprise network public opinion
identification of high-risk users
random forest algorithm
user portrait
Online Access:https://www.mdpi.com/2075-1680/10/2/106

Internet

https://www.mdpi.com/2075-1680/10/2/106

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