Study of Network Public Opinion Monitoring Based on Social Tagging

Zhiyu Lu; Jianliang Wei
February 2013
International Journal of Digital Content Technology & its Applic;Feb2013, Vol. 7 Issue 4, p543
Academic Journal
With the rapid development of Internet service such as blog, micro-blog, instant message and SNS, network public opinion source and its transmission ways develop with a diversified trend. Traditional means of network public opinion monitoring focus on top-down standardized measures which can't reflect the flexible language used by network public opinion participants in reality. Combine with social tagging and its advantages, this paper put forwards a way to monitor network public opinion under a Web2.0 environment. Firstly, tags and saved resources of individual in social events are collected, and then models of authority participants and community are constructed and demonstrated by using a software names UCINET. Finally, a monitoring mechanism of network public opinion is set up, and relationships among participants are revealed which is helpful to monitor network public opinion.


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