Extracting the Dynamic Popularity of Concepts from a Corpus of Short-Sentence Documents-Reference-Cited by-同舟云学术

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Extracting the Dynamic Popularity of Concepts from a Corpus of Short-Sentence Documents

Published:2012 Issue: Volume: Page:582-591
ISSN:1868-4238
Container-title:IFIP Advances in Information and Communication Technology
language:
Short-container-title:

Author:

Picard Willy

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-32775-9_58.pdf

Reference20 articles.

1. Twitter, http://www.twitter.com/

2. Facebook, http://www.facebook.com/

3. Google+, http://plus.google.com/

4. Libby, D.: RSS 0.91 Spec, revision 3, Netscape Communications, July 10 (1999), http://www.rssboard.org/rss-0-9-1-netscape

5. Nottingham, M., Sayre, R. (eds.): Internet Engineering Task Force (IETF): The Atom Syndication Format, RFC 4287 (2005), http://tools.ietf.org/html/rfc4287

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1. A Retrospective Socio-Semantic Analysis of the PRO-VE Conferences;Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications;2014

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