Abstract
This study employs text mining and semantic analysis methods to analyze the change of public opinion in the formation of online collective behaviors in crisis management. A case that related to law enforcement violence is investigated to study the communication between government and the public. The development of event is framed based on news data. The paper conducts a semantic analysis on microblog data and extracts high-frequency keywords and co-occurrence words at each stage of the event. By comparing key words at different stages, the paper proposes a new way to gain insight into the requirement of the public and predict the change of public opinion.
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References
Sobkowicz, P., Kaschesky, M., Bouchard, G.: Opinion mining in social media: Modeling, simulating, and forecasting political opinions in the web. Gov. Inf. Q. 29(4), 470–479 (2012)
Xiong, F., Liu, Y., Zhang, Z.J., Zhu, J., Zhang, Y.: An information diffusion model based on retweeting mechanism for online social media. Phys. Lett. A 376(30), 2103–2108 (2012)
Liu, C., Zhang, Z.K.: Information spreading on dynamic social networks. Commun. Nonlinear Sci. Numer. Simul. 19(4), 896–904 (2014)
Prabowo, R., Thelwall, M.: Sentiment analysis: A combined approach. J. Informetr. 3(2), 143–157 (2009)
Godbole, N., Srinivasaiah, M., Skiena, S.: Large-scale sentiment analysis for news and blogs. In: ICWSM 7 (2007)
Li, N., Wu, D.D.: Using text mining and sentiment analysis for online forums hotspot detection and forecast. Decis. Support Syst. 48(2), 354–368 (2010)
Yates, D., Paquette, S.: Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake. Int. J. Inf. Manag. 31(1), 6–13 (2011)
Schultz, F., Utz, S., Göritz, A.: Is the medium the message? Perceptions of and reactions to crisis communication via twitter, blogs and traditional media. Pub. Relat. Rev. 37(1), 20–27 (2011)
Utz, S., Schultz, F., Glocka, S.: Crisis communication online: How medium, crisis type and emotions affected public reactions in the Fukushima Daiichi nuclear disaster. Pub. Relat. Rev. 39(1), 40–46 (2013)
Palttala, P., Vos, M.: Quality indicators for crisis communication to support emergency management by public authorities. J. Contingencies Crisis Manag. 20(1), 39–51 (2012)
Nickel, E.D.: Novato Fire District (2009)
Qiu, L., Lin, H., Chiu, C.-Y., Liu, P.: Online collective behaviors in China: dimensions and motivations. Analyses Soc. Issues Pub. Policy (2014). doi:10.1111/asap.12049
Nasukawa, T., Nagano, T.: Text analysis and knowledge mining system. IBM Syst. J. 40(4), 967–984 (2001)
Tan, A.H.: Text mining: The state of the art and the challenges. In: Proceedings of the PAKDD 1999 Workshop on Knowledge Discovery from Advanced Databases, pp. 65–70 (1999)
Guan, W., Gao, H., Yang, M., Li, Y., Ma, H., Qian, W., Yang, X.: Analyzing user behavior of the micro-blogging website Sina Weibo during hot social events. Phys. A Stat. Mech. Appl. 395, 340–351 (2014)
Krippendorff, K.: Reliability in content analysis. Hum. Commun. Res. 30, 411–433 (2004). doi:10.1111/j.1468-2958.2004.tb00738.x
Van Atteveldt, W.: Semantic Network Analysis: Techniques for Extracting, Representing, and Querying Media Content. Vrije Universiteit, Amsterdam (2008)
Yu, H.O.N.G., Yu, Z., Liu, T., Li, S.: Topic detection and tracking review. J. Chin. Inf. Process. 21(6), 71–87 (2007)
Kim, S.Y., Choi, M.I., Reber, B.H., Kim, D.: Tracking public relations scholarship trends: Using semantic network analysis on PR Journals from 1975 to 2011. Public Relat. Rev. 40(1), 116–118 (2013)
Gildea, D., Jurafsky, D.: Automatic labeling of semantic roles. Comput. Linguist. 28(3), 245–288 (2002)
Matsuo, Y., Ishizuka, M.: Keyword extraction from a single document using word co-occurrence statistical information. Int. J. Artif. Intell. Tools 13(01), 157–169 (2004)
Liu, J., Cao, Z., Cui, K., Xie, F.: Identifying important users in sina microblog. In: 2012 Fourth International Conference on Multimedia Information Networking and Security (MINES), pp. 839–842. IEEE (2012)
Luo, X., Zhang, J., Ye, F., Wang, P., Cai, C.: Power Series Representation Model of Text Knowledge Based on Human Concept Learning. IEEE Trans. Syst. Man Cybern. Syst. 44(1), 86–102 (2014)
Bayardo Jr., R.J.: Efficiently mining long patterns from databases. ACM Sigmod Rec. 27(2), 85–93 (1998)
Acknowledgement
This work was partially supported by the National Natural Science Foundation of China (Grant No.91024032, No.91224008, No.70833003). National Basic Research Program of China (973 Program No: 2012CB719705).
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Ma, Y., Deng, Q., Wang, X., Liu, J., Zhang, H. (2014). Keyword-Based Semantic Analysis of Microblog for Public Opinion Study in Online Collective Behaviors. In: Chen, Y., et al. Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science(), vol 8597. Springer, Cham. https://doi.org/10.1007/978-3-319-11538-2_5
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DOI: https://doi.org/10.1007/978-3-319-11538-2_5
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