References
- 1Chen, X, Xia, M, Cheng, J, Tang, X and Zhang, J. 2016. Trend prediction of internet public opinion based on collaborative filtering. In: International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, Changsha, China,
13–15 August 2016 , 583–588. DOI: 10.1109/FSKD.2016.7603238 - 2Guo, K, Shi, L, Ye, W and Li, X. 2014. A survey of Internet public opinion mining. In: International Conference on Progress in Informatics and Computing, Shanghai, China,
16–18 May 2014 , 173–179. DOI: 10.1109/PIC.2014.6972319 - 3Hao, X, An, H, Zhang, L, Li, H and Wei, G. 2015. Sentiment Diffusion of Public Opinions about Hot Events: Based on Complex Network. Plos One, 10(10):
e0140027 . DOI: 10.1371/journal.pone.0140027 - 4Li, YZ and Zhang, MS. 2014. Design and Implementation of Internet Public Opinion Monitoring System. Advanced Materials Research, 926–930: 1902–1905. DOI: 10.4028/www.scientific.net/AMR.926-930.1902
- 5Liu, H. 2010. Internet Public Opinion Hotspot Detection and Analysis Based on Kmeans and SVM Algorithm. In: 2010 International Conference of Information Science and Management Engineering, Xi’an, China,
7–8 August, 2010 , 257–261. DOI: 10.1109/ISME.2010.207 - 6Liu, H and Li, X. 2010. Internet Public Opinion Hotspot Detection Research Based on K-means Algorithm. In: Advances in Swarm Intelligence, First International Conference, Beijing, China,
12–15 June, 2010 , 594–602. DOI: 10.1007/978-3-642-13498-2_78 - 7Luo, Y. 2014. The Internet and Agenda Setting in China: The Influence of Online Public Opinion on Media Coverage and Government Policy. International Journal of Communication, 8(2): 1289–1312.
- 8Song, B, Zhu, JM and Huang, QF. 2014. The Internet public opinion grooming model based on cluster dynamics and evolutionary game theory. Xitong Gongcheng Lilun Yu Shijian/System Engineering Theory & Practice, 34(11): 2984–2994.
- 9Tran, YH and Tran, QN. 2017. Estimating public opinion in social media content using aspect-based opinion mining. In: International Conference on Mobile Networks and Management, 101–115.
- 10Wang, W and Tang, Y. 2016. Network public sentiment orientation analysis based on HMM Model. In: International Conference on Wireless Communications, Signal Processing and NETWORKING, Chennai, India,
23–25 March 2016 , 2269–2273. DOI: 10.1109/WiSPNET.2016.7566546 - 11Wang, X and Liu, Q. 2011. Topic semantic orientation compute based on sentiment words Ontology. Computer Engineering & Applications, 47(27): 147–151.
- 12Yang, Y. 2017. Research and Realization of Internet Public Opinion Analysis Based on Improved TF – IDF Algorithm. International Symposium on Distributed Computing and Applications To Business, Engineering and Science, 80–83. DOI: 10.1109/DCABES.2017.24