Abstract
Nowadays, Weibo, the most popular and commonly used microblog, has already played an important role of a public opinion field in China. Especially when emergency occurs, a public opinion storm will be raised on Weibo. An improved CSIM algorithm was put forward to help analyze the public opinions by clustering the messages. The Tianjin Port Explosion was chosen as an example and the related original posts and hot comments were collected as corpus. By analyzing the clustering result, the hot topics were identified and evolution patterns of public opinions on emergency were explored. According to the clustering result, the public first concerned about “the description of the explosion”, “mourning and prayer” and “the discussion about the responsibility of media”. However, in terms of quantity, the public most concerned about “the evaluation of government measures”. The next was “mourning and prayer”, while the third was “the description of the explosion”.
This research was supported by National Natural Science Foundation of China (Grant No. 71373291). This work also was supported by Science and Technology Planning Project of Guangdong Province, China (Grant No. 2015A030401037).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Data sources of the number of casualties in Tianjin port explosion: NetEase News, http://news.163.com/15/0818/08/B19ME28L00014AED.html.
- 2.
The introduction of JGibbLDA:
http://jgibblda.sourceforge.net/#3._How_to_Program_with_JGibbLDA
References
Liu, K., Li, L., Jiang, T., Chen, B., Jiang, Z., Wang, Z., et al.: Chinese public attention to the outbreak of Ebola in West Africa: evidence from the online big data platform. Int. J. Environ. Res. Publ. Health 13(8), 780 (2016)
Gu, H., Chen, B., Zhu, H., Jiang, T., Wang, X., Chen, L., et al.: Importance of internet surveillance in public health emergency control and prevention: evidence from a digital epidemiologic study during avian influenza a H7N9 outbreaks. J. Med. Int. Res. 16(1), e20 (2014)
Xiong, X., Hu, Y.: Research on the dynamics of opinion spread based on social network services. Acta Physica Sinica 61(15) (2012)
Su, Q., Huang, J., Zhao, X.: An information propagation model considering incomplete reading behavior in microblog. Physica A Stat. Mech. Appl. 419(2), 55–63 (2015)
Huang, J., Su, Q.: A rumor spreading model based on user browsing behavior analysis in microblog. In: Proceedings of International Conference on Service Systems and Service Management 2013, vol. 8923, pp. 170–173 (2013)
Zhao, Y., Qin, B., Liu, T., Tang, D.: Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog. Multimedia Tools Appl. 75(15), 8843–8860 (2016)
Zhou, C., Zhang, Y., Li, B., Li, D.: Hot topics extraction from Chinese micro-blog based on sentence. In: Proceedings of 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing and 2015 IEEE 12th International Conference on Autonomic and Trusted Computing and 2015 IEEE 15th International Conference on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), pp. 645–648 (2016)
Xue, B., Fu, C., Zhan, S.: A study on sentiment computing and classification of Sina Weibo with word2vec. In: Proceedings of 3rd IEEE International Congress on Big Data, pp. 358–363 (2014)
Shi, W., Wang, H., He, S.: Sentiment analysis of Chinese microblogging based on sentiment ontology: a case study of ‘7.23 wenzhou train collision’. Connection Sci. 25(4), 161–178 (2013)
Han, P., Li, S., Jia, Y.: A topic-independent hybrid approach for sentiment analysis of Chinese microblog. In: Proceedings of 17th IEEE International Conference on Information Reuse and Integration, pp. 463–468 (2016)
Zhu, Y., Tian, H., Ma, J., Liu, J., Liang, T.: An integrated method for micro-blog subjective sentence identification based on three-way decisions and naive Bayes. In: Proceedings of 9th International Conference on Rough Sets and Knowledge Technology, pp. 844–855 (2014)
Shi, H., Chen, W., Li, X.: Opinion sentence extraction and sentiment analysis for Chinese microblogs. In: Proceedings of 2nd CCF Conference on Natural Language Processing and Chinese Computing, vol. 400, pp. 417–423 (2013)
Fang, Y.C., Du, Y.J., Tang, M.W.: News topic-typed microblog opinion sentence recognition. In: Proceedings of 2nd IEEE International Conference on Computer and Communications, pp. 2385–2390 (2017)
Xin, M., Wu, H., Niu, Z.: A quick emergency response model for micro-blog public opinion crisis based on text sentiment intensity. J. Softw. 7(6), 1413–1420 (2012)
Wu, H., Xin, M.: A quick emergency response model for micro-blog public opinion crisis oriented to mobile Internet services: design and implementation. In: Advances in Multimedia, Software Engineering and Computing, vol. 2 (2011)
Bin, W.U., Wei-Peng, F.U., Zheng, Y., Liu, S.H., Shi, Z.Z.: A clustering algorithm based on swarm intelligence for web document. J. Comput. Res. Dev. 39(11), 1429–1435 (2002)
Li, Y.Z.: Three obvious defects in the local governance as seen by the 8.12 Tianjin Port Explosion. People’s Tribune, vol. 25, pp. 65–65 (2015)
Bi, W.T.: All parties should perform their respective duties in dangerous goods logistics. Labour Prot. 10, 42–44 (2015)
Du, J.F.: Rethinking of public opinion crisis to Tianjin Port Explosion. PR World 8, 56–59 (2015)
Liu, H.M.: the omission of media emergency management: a case study of 8.12 Tianjin Port Explosion. Journalism Lover 11, 10–15 (2015)
Huang, W.J.: Strategy for the guidance of public opinion by Chinese mainstream media under the media covergence: a case study of the reports of 8.12 Tianjin Port Explosion. News World 11, 141–143 (2015)
Xing, X., Wang, C.F.: A study on the influence of social media on the public opinion of major paroxysmal public crisis: viewing the Penetration of Social Media from 8.12 Tianjin Port Explosion. Journalism Lover 11, 16–18 (2015)
Wang, H.C.: A case study on the cause of rumor on microblog in public emergency: a case study of 8.12 Tianjin Port Explosion. Today’s Massmedia 11, 50–52 (2015)
Nie, Z.Y., Ding, R.G., Wang, H.B., Yong, Z., Fan, S.Y., Yang, Z.K., et al.: The experience and inspiration of emergency response of chemical defense in 8.12 Tianjin Port Explosion. Chin. J. Pharmacol. Toxicol. 5, 842–846 (2015)
Guo, X.X., Li, Z.J., Li, H., Zhang, Z.X., Xu, C.Z., Zhu, B.: Organization and management of the treatment for the wounded in 8.12 explosion in Tianjin Port. Chin. J. Traumatol. 87(2), 110–148 (2015)
Wang, H.Y., Wu, H.Y.: Problems in the management of mass casualties in the Tianjin Explosion. Critical Care 20(1), 1 (2016)
Chung, Y.S., Kim, H.S.: On the August 12, 2015 occurrence of explosions and fires in Tianjin, China, and the atmospheric impact observed in central Korea. Air Qual. Atmos. Health 8(6), 1–12 (2015)
Faieta, B., Lumer, E.D.: Exploratory data analysis via self-organization. In: Proceedings of 4th International Conference on Computer-Assisted Information Retrieval, pp. 570–585 (1994)
Liu, J.B., Yang, F.: Short text frequent clustering algorithm for public opinion analysis. J. Beijing Electr. Sci. Technol. Inst. 18(4), 6–11 (2010)
Wang, Y.H., Xia, Y., Yang, S.Q.: Study on massive short documents clustering technology. Comput. Eng. 33(14), 38–40 (2007)
Sahami, M., Heilman, T.D.: A web-based kernel function for measuring the similarity of short text snippets. In: Proceedings of the 15th International Conference on World Wide Web, pp. 377–386 (2006)
Jin, C.X., Zhou, H.Y.: Chinese short text clustering based on dynamic vector. Comput. Eng. Appl. 47(33), 156–158 (2011)
Dutta, S., Ghatak, S., Roy, M., Ghosh, S.: A graph based clustering technique for tweet summarization. In: Proceedings of 4th International Conference on Reliability, Infocom Technologies and Optimization, pp. 1–6 (2015)
Quan, X., Liu, G., Lu, Z., Ni, X., Wenyin, L.: Short text similarity based on probabilistic topics. Knowl. Inf. Syst. 25(3), 473–491 (2010)
Cao, C.P., Cui, H.C.: Microblog topic detection based on LSA and structural property. Appl. Res. Comput. 9, 2720–2723 (2015)
Xu, J., Xu, B., Wang, P., Zheng, S., Tian, G., Zhao, J., et al.: Self-taught convolutional neural networks for short text clustering. Neural Netw. Official J. Int. Neural Netw. Soc. 88, 22 (2017)
Chen, Y.F., Liu, Y.S., Qian, Y.Y., Zhao, J.H.: A heuristic density-based clustering algorithm of swarm intelligence. Trans. Beijing Inst. Technol. 25(1), 45–48 (2005)
Acknowledgment
This research was supported by National Natural Science Foundation of China (Grant No. 71373291). This work also was supported by Science and Technology Planning Project of Guangdong Province, China (Grant No. 2015A030401037).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Lu, Y., Liu, X., Zhu, H. (2019). Public Opinion Analysis of Emergency on Weibo Based on Improved CSIM: The Case of Tianjin Port Explosion. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 868. Springer, Cham. https://doi.org/10.1007/978-3-030-01054-6_68
Download citation
DOI: https://doi.org/10.1007/978-3-030-01054-6_68
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01053-9
Online ISBN: 978-3-030-01054-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)