WIPOMTS: An Internet public opinion monitoring system

Communications in Computer and Information Science

Volumn 307 CCIS, Issue PART 1, 2012, Pages 1-8

  Zhang, Shouhua ^a   Shang, Kaiyu ^a   Cong, Shuai ^a   Zhang, Bin ^a   Liu, Zhenpeng ^a  

^a HEBEI UNIVERSITY   (China)

Author keywords

hot topic; Internet public opinion; topic clustering; tracking

Indexed keywords

HOT TOPIC; HOTSPOTS; INFORMATION ACQUISITIONS; INTERNET PUBLIC OPINIONS; MONITORING SYSTEM; PUBLIC OPINIONS; RUNNING TESTS; TOPIC CLUSTERING;

INTERNET; MONITORING; SURFACE DISCHARGES;

SOCIAL ASPECTS;

EID: 84867569781     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-34038-3_1     Document Type: Conference Paper

References (10)

1. China Internet Network Information Center: 28th Statistical Report on the Internet Development in China. Technical report, CNNIC (July 2011)
2. 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)
3. Zheng, K., Shu, X., Yuan, H.: Hot Spot Information Auto-detection Method of Internet Public Opinion. Computer Engineering 36(3), 4-6 (2010)
4. 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)
5. Pan, Z.: Research of Analyzing Public opinion on the Web Based on Topic Key Words. Journal of Suzhou University 25(5), 28-30 (2010)
6. Lu, B., Cheng, X., Chen, Z.: Overview of the Study of Internet Public Opinion Mining. Information and Documentation Services 2, 41-45 (2010)
7. 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)
8. Hua, B.: Stop-word Processing Technique in Knowledge Extraction. New Technology of Library and Information Service 8, 48-51 (2007)
9. Tang, H., Wang, H.: Appliction of Improved K-Means Algorithm to Analysis of Internet Public Opinion. Computer Systems & Applications 20(3), 165-168 (2011)
10. Lian, J., Liu, Y.: Web Data Preprocessing and Automatic Abstract for Internet Public Opinion. Journal of Beijing Jiaotong University 34(5), 94-99 (2010)