Analysis of the Evolution Trend of Segmentation of Online Public Opinion Based on Dynamic Tracking Technology

[1] Pan, D., & Zhou, H. (2017). Development and application of english teaching system based on internet technology. C e Ca, 42(2), 647-650. Search in Google Scholar

[2] Zhao, W. (2017). The redesign of brand visual identity in the information age. Acta Technica CSAV (Ceskoslovensk Akademie Ved), 62(1), 279-288. Search in Google Scholar

[3] Wang, S., & Zhu, L. (2017). A markov game model of network security in information system based on copula theory. Boletin Tecnico/Technical Bulletin, 55(12), 227-232. Search in Google Scholar

[4] Qazi, A., Bhowmik, C., Hussain, F., Yang, S., & Al-Rakhami, M. (2021). Analyzing the public opinion as a guide for renewable-energy status in malaysia: a case study. IEEE Transactions on Engineering Management, PP(99), 1-15. Search in Google Scholar

[5] Leong, A. D., & Ho, S. S. (2021). Perceiving online public opinion: the impact of facebook opinion cues, opinion climate congruency, and source credibility on speaking out. New Media & Society, 23(9), 2495-2515. Search in Google Scholar

[6] Sainger, G. (2021). Sentiment analysis - an assessment of online public opinion: a conceptual review. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(5), 1881-1887. Search in Google Scholar

[7] Chen, J. (2019). Transformations, opportunities and challenges: how government copes with online public opinion in big data era. Open Journal of Social Sciences, 07(4), 424-437. Search in Google Scholar

[8] Zhong, Z. (2020). Internet public opinion evolution in the covid-19 event and coping strategies. Disaster medicine and public health preparedness, 1-7. Search in Google Scholar

[9] Ni, Y., Su, Z., Wang, W., & Ying, Y. (2019). A novel stock evaluation index based on public opinion analysis - sciencedirect. Procedia Computer Science, 147(C), 581-587. Search in Google Scholar

[10] Xie, Y. (2020). Study on the guiding mechanism of ideological and political education in colleges and universities to network public opinion during the period of covid-19 prevention. Progress in Social Sciences, 2(4), 127-141. Search in Google Scholar

[11] Tosun, J., Peters, B. G., Stadelmann-Steffen, I., & Eder, C. (2021). Public opinion in policy contexts. a comparative analysis of domestic energy policies and individual policy preferences in europe. International Political Science Review, 42(1), 78-94. Search in Google Scholar

[12] Liu, J., Liu, L., Tu, Y., Li, S., & Li, Z. (2021). Multi-stage internet public opinion risk grading analysis of public health emergencies: an empirical study on microblog in covid-19. Information Processing and Management, 59(3), 102796. Search in Google Scholar

[13] Ma, Y., Li, L., Yin, Z., et al. (2021). Research and application of network status prediction based on BP neural network for intelligent production line. Procedia Computer Science, 183(20),189-196. Search in Google Scholar

[14] Christian, O., Hanna, P., & Anna, G. (2021). Engaging with public opinion at the micro-level: citizen dialogue and participation in german foreign policy. Foreign Policy Analysis(1), 1. Search in Google Scholar

[15] Meimei, Zhang, Wenmin, & Wang. (2017). Study on public opinion propagation in self media age based on time delay differential model. Procedia Computer Science, 486-493 Search in Google Scholar

[16] Zhang, S., & Wu, Z. (2017). Coevolution model for public opinion information based on coupling network. Boletin Tecnico/Technical Bulletin, 55(7), 432-438. Search in Google Scholar

[17] Chen, M., & Du, W. (2023). The predicting public sentiment evolution on public emergencies under deep learning and internet of things. Journal of supercomputing. Search in Google Scholar

[18] Liu, X., & Chao, L. (2018). Information diffusion and opinion leader mathematical modeling based on microblog. IEEE Access, 6, 34736-34745. Search in Google Scholar

[19] Han, X. (2017). Analysis on the current situation of online news communication and public opinion and its countermeasures. Agro Food Industry Hi Tech, 28(1), 2932-2934. Search in Google Scholar

[20] Wang, L., Jia, Y., Yao, C., et al. (2018). Load Distribution-Based Research on a Cascading Failure Model of Network Public Opinion Dissemination. IEEE Access, 6,35272-35282. Search in Google Scholar