Abstract
Based on the characteristic of Internet public opinion occurrence and spreading, to improve the information acquisition strategy, and pursue key words to conduct topic clustering, to design the models for analyzing public opinion hotspots based on different features of news, forums and blogs. On this basis, an Internet public opinion monitoring system was designed and implemented. The running tests show that this system is capable of finding hot topics and tracking emergencies timely.
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References
China Internet Network Information Center.: 28th Statistical Report on the Internet Development in China. Technical report, CNNIC (July 2011)
Ding, J., Xu, J.: IPOMS: an Internet Public Opinion Monitoring System. In: International Conference on the Applications of Digital Information and Web Technologies, pp. 433–437. IEEE Press, London (2009)
Zheng, K., Shu, X., Yuan, H.: Hot Spot Information Auto-detection Method of Internet Public Opinion. Computer Engineering 36(3), 4–6 (2010)
Liu, H., Li, X.: Internet Public Opinion Hotspot Detection Research Based on K-means Algorithm. In: Tan, Y., Shi, Y., Tan, K.C. (eds.) ICSI 2010, Part II. LNCS, vol. 6146, pp. 594–602. Springer, Heidelberg (2010)
Pan, Z.: Research of Analyzing Public opinion on the Web Based on Topic Key Words. Journal of Suzhou University 25(5), 28–30 (2010)
Lu, B., Cheng, X., Chen, Z.: Overview of the Study of Internet Public Opinion Mining. Information and Documentation Services 2, 41–45 (2010)
Guan, Q., Ye, S., Yao, G., et al.: Research and Design of Internet Public Opinion Analysis System. In: IITA International Conference on Services Science, Management and Engineering (SSME 2009), pp. 173–177. IEEE Press, Zhangjiajie (2009)
Hua, B.: Stop-word Processing Technique in Knowledge Extraction. New Technology of Library and Information Service 8, 48–51 (2007)
Tang, H., Wang, H.: Appliction of Improved K-Means Algorithm to Analysis of Internet Public Opinion. Computer Systems & Applications 20(3), 165–168 (2011)
Lian, J., Liu, Y.: Web Data Preprocessing and Automatic Abstract for Internet Public Opinion. Journal of Beijing Jiaotong University 34(5), 94–99 (2010)
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Zhang, S., Shang, K., Cong, S., Zhang, B., Liu, Z. (2012). WIPOMTS: An Internet Public Opinion Monitoring System. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34038-3_1
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DOI: https://doi.org/10.1007/978-3-642-34038-3_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34037-6
Online ISBN: 978-3-642-34038-3
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