Analysis and Mining of Internet Public Opinion Based on LDA Subject Classification
Keywords:Online public opinion; LDA; Co-occurrence knowledge graphs;Visualization
This paper uses Python, R language, Gephi and other software to crawl and classify the comment content of Weibo hot search events. Using word cloud, co-occurrence social network graphs, LDA topic classification visualization methods, this paper regularizes and integrates public opinions of hot events. Through this research, we can get the influence of public opinion mediators, public opinion objects, and government forces on the network public opinion and put forward corresponding improvement suggestions. We hope to contribute to the government’s governance and prevention of online public opinion during the spread of COVID-19 and other public hot events.
Zeng Runxi, Xu Xiaolin. The Spread Law of Internet Public Opinion and Netizen Behavior: An Empirical Study [J]. Chinese Administration, 2010(11): 16–20.
Zeng Runxi. Research on the Working Mechanism of Network Public Opinion Control [J]. Library and Information Service, 2009, 53(18): 79–82.
Anup Chakraborty, Sueli Dey. Big Impact through Big Data: Potential of Big Data in the Indian Public Sector [C]. International Conference on Public Administration,2012, 25th, October. Hyderabad, India
Wendy N. Whitman Cobb. Trending now: Using big data to examine public opinion of space policy [J]. Space Policy, Volume 32, May 2015, Pages 11–16.
Sun Wenbo, Yan Wujie. Research on Government Supervision of Internet Public Opinion Governance from the Perspective of Big Data [J]. Journal of Changsha University, 2017(1): 41–45
Wang Ying, Gong Huaping. Big Data Based on Emotional Dimensions Analysis and Research on the Emotional Tendency of Public Opinions in Data Networks-Taking “Nanchang University’s Independent Cleaning” Weibo Public Opinion Events as an Example [J]. Information Science, 2017, 35(04): 37–42.
Peng Hao, Zhou Jie, Zhou Hao, Zhao Dandan. Public opinion analysis based on topic discovery in Weibo network [J]. Telecommunications Technology, 2015, 55(06): 611–617.
Ma Mei, Liu Dongsu, Li Hui. Research on network public opinion analysis system model based on big data [J]. Information Science, 2016, 34(03): 25–28+
Xia Sheng. Network public opinion analysis system in the era of big data [J]. Electronic Technology and Software Engineering, 2016(17): 187.
Mou Dongmei, Shao Qi, Han Nannan, Wang Ping, Jin Shan, Jin Chunyan. Multi-dimensional social attribute analysis and visualization of public opinion on Weibo-Taking a vaccine incident as an example [J]. Library and Information Service, 2020, 64(03): 111–118.
Xing Pengfei, Li Xinxin. Research on the formation mechanism and guiding strategy of online public opinion in the prevention and control of major epidemics-Based on the qualitative analysis of the text of online public opinion during the new crown pneumonia epidemic [J]. Journal of Information, 2020, 39(07): 67–74+
Li Wanlian, Gao Guanghan. Research on the Generation Mechanism of Internet Public Opinion Heat in Public Emergencies-A Qualitative Comparative Analysis of Fuzzy Sets Based on 48 Cases (fsQCA) [J]. Journal of Information, 2020, 39(07): 94–100.