Keyword extraction from news corpus by deep learning in the context of internet of things
by Yan Xiao
International Journal of Grid and Utility Computing (IJGUC), Vol. 14, No. 2/3, 2023

Abstract: With the rapid development of modern technology and information technology, information generation and dissemination is getting faster and faster. The amount of web text, such as web pages, e-books, news, etc., is exploding. Therefore, it is very important for users to quickly and accurately find out what they are interested in from the large amount of data in the network. Keywords can help users quickly understand the main content of the text and the main idea, improve query efficiency, and save search time. Therefore, in order to solve the problem of increasing information volume, searching for the information people need more efficiently, exploring new technologies for keyword extraction, and improving the accuracy of keyword extraction are more and more important.

Online publication date: Thu, 18-May-2023

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 Grid and Utility Computing (IJGUC):
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