IPOMS: an Internet Public Opinion Monitoring System

Author

Jie, Ding ; Jungang, Xu

Author_Institution

Sch. of Inf. Sci. & Eng., Grad. Univ. of Chinese, Beijing, China

fYear

2009

fDate

4-6 Aug. 2009

Firstpage

433

Lastpage

437

Abstract

In this paper, an IPOMS (Internet Public Opinion Monitoring System) is proposed. This system can collect web pages with some certain key words from Internet news, topics on forum and BBS, and then cluster these web pages according to different dasiaeventpsila groups. Furthermore, this system provides the function of automatically tracking the progress of one event. With this system, supervisors can know what is exactly happening and what has happened from different views, which can improve their work efficiency a lot. This system is composed of web crawler, html parser and topic detection and tracking tool. Because of the existence of numerous data in web pages, in order to improve efficiency of Internet public opinion analysis, the technologies of web page cleansing and k-d tree algorithm in topic tracking are adopted.

Keywords

Internet; hypermedia markup languages; social sciences computing; trees (mathematics); IPOMS; Internet news; Internet public opinion analysis; Internet public opinion monitoring system; Web crawler; Web page cleansing; Web pages; event groups; html parser; k-d tree algorithm; topic detection; topic tracking; tracking tool; Crawlers; Discussion forums; Electronic mail; Event detection; HTML; Information science; Internet; Monitoring; Space technology; Web pages;

fLanguage

English

Publisher

ieee

Conference_Titel

Applications of Digital Information and Web Technologies, 2009. ICADIWT '09. Second International Conference on the

Conference_Location

London

Print_ISBN

978-1-4244-4456-4

Electronic_ISBN

978-1-4244-4457-1

Type

conf

DOI

10.1109/ICADIWT.2009.5273966

Filename

5273966