A Topic Representation Model for Online Social Networks Based on Hybrid Human–Artificial Intelligence

Han, Weihong1; Tian, Zhihong1; Zhu, Chunsheng2,3; Huang, Zizhong4; Jia, Yan4; Guizani, Mohsen5

2021-02

10.1109/TCSS.2019.2959826

IEEE Transactions on Computational Social Systems   影响因子和分区

2373-7476

Hybrid human–artificial intelligence (H-AI) latent Dirichlet allocation (LDA) model social network topic detection topic representation model

SCI ; EI

其他

20210609882070

Evolutionary algorithms ; Social aspects ; Social networking (online)

Computer Software, Data Handling and Applications:723 ; Artificial Intelligence:723.4 ; Impact of Technology on Society:901.4

IEEE

1.Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, China
2.SUSTech Institute of Future Networks, Southern University of Science and Technology, Shenzhen 518055, China
3.PCL Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen 518055, China
4.Computer School, National University of Defense Technology, Changsha 410073, China
5.Department of Computer Science and Engineering, Qatar University, Doha, Qatar

Han, Weihong,Tian, Zhihong,Zhu, Chunsheng,等. A Topic Representation Model for Online Social Networks Based on Hybrid Human–Artificial Intelligence[J]. IEEE Transactions on Computational Social Systems,2021,8(1):191-200.

Han, Weihong,Tian, Zhihong,Zhu, Chunsheng,Huang, Zizhong,Jia, Yan,&Guizani, Mohsen.(2021).A Topic Representation Model for Online Social Networks Based on Hybrid Human–Artificial Intelligence.IEEE Transactions on Computational Social Systems,8(1),191-200.

Han, Weihong,et al."A Topic Representation Model for Online Social Networks Based on Hybrid Human–Artificial Intelligence".IEEE Transactions on Computational Social Systems 8.1(2021):191-200.