Research and judgement method of social network hot news public opinion based on knowledge graph
by Gelang Li
International Journal of Web Based Communities (IJWBC), Vol. 20, No. 1/2, 2024

Abstract: In order to improve the accuracy of the judgement of the development of news public opinion, this paper puts forward the research and judgement method of social network hot news public opinion based on knowledge graph. Through corpus annotation, character coding and time slice processing, the corpus of hot news on the internet is pre-processed, and the processed corpus information is used to construct knowledge atlas. In order to improve the accuracy of the analysis of news elements, the map is composed of several sub-maps with the most closely connected relationship. Finally, in combination with the real-time nature of news, the development of news public opinion is judged from the three perspectives of news evolution, spread and news heat. The test results show that the error of the method is less than 2% for the judgement of public opinion evolution degree, spread breadth and news heat.

Online publication date: Thu, 15-Feb-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Web Based Communities (IJWBC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com