Abstract
Nowadays, there are plenty of online websites related to news. Hence, new technologies, tools and special search engines are created for having access to the news on these websites. Online news is a special type of public information which has exclusive characteristics. These characteristics contribute news engines tasks such as discovering, collecting and searching to be different with similar tasks in traditional web search engines. Clustering plays conspicuous role in news engines tasks. In this paper we study various tasks in news engines and also focusing on clustering applications in them.
Keywords
- News Article
- Cluster Label
- News Source
- News Engine
- News Page
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Sayyadi, H., Salehi, S., AbolHassani, H. (2007). Survey on News Mining Tasks. In: Sobh, T. (eds) Innovations and Advanced Techniques in Computer and Information Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6268-1_40
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DOI: https://doi.org/10.1007/978-1-4020-6268-1_40
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-6267-4
Online ISBN: 978-1-4020-6268-1
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