July 2010
MDMKDD '10: Proceedings of the Tenth International Workshop on Multimedia Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 102
Downloads (6 Weeks): 33, Downloads (12 Months): 348, Downloads (Overall): 3,816
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Twitter is a user-generated content system that allows its users to share short text messages, called tweets , for a variety of purposes, including daily conversations, URLs sharing and information news. Considering its world-wide distributed network of users of any age and social condition, it represents a low level news ...
Keywords:
aging theory, text analysis, topic detection
Keywords:
aging theory
Abstract:
... and model the term life cycle according to a novel aging theory intended to mine the emerging ones. A term can be ...
References:
C. C. Chen, Y.-T. Chen, Y. S. Sun, and M. C. Chen. Life cycle modeling of news events using aging theory. In ECML, pages 47--59, 2003.
C. Wang, M. Zhang, L. Ru, and S. Ma. Automatic online news topic ranking using media focus and user attention based on aging theory. In CIKM '08, pages 1033--1042, New York, NY, USA, 2008. ACM.
Full Text:
... tweets and model the term life cycle according to anovel aging theory intended to mine the emerging ones. Aterm can be defined ...
... each term, we model its life cycle according to anovel aging theory that leverages the users authorityin order to study its usage ...
... on Twitter. We formalized thekeyword life cycle leveraging a novel aging theory intendedto mine terms that frequently occur in the specified time ...
... news topic ranking using media focus and userattention based on aging theory. . In CIKM ?08, pages1033?1042, New York, NY, USA, 2008. ...
January 2014
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining: Volume 5 Issue 1, December 2013
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 8, Downloads (12 Months): 77, Downloads (Overall): 524
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Twitter is a popular microblogging service that acts as a ground-level information news flashes portal where people with different background, age, and social condition provide information about what is happening in front of their eyes. This characteristic makes Twitter probably the fastest information service in the world. In this article, ...
Keywords:
Twitter, topic detection and tracking, trends, Social network analysis, aging theory
Keywords:
aging theory
References:
Chen, C. C., Chen, Y.-T., Sun, Y. S., and Chen, M. C. 2003. Life cycle modeling of news events using aging theory. In Proceedings of the 14<sup>th</sup> European Conference on Machine Learning (ECML'03). Springer, 47--59.
Wang, C., Zhang, M., Ru, L., and Ma, S. 2008. Automatic online news topic ranking using media focus and user attention based on aging theory. In Proceedings of the 17<sup>th</sup> ACM Conference on Information and Knowledge Management (CIKM'08). ACM Press, New York, 1033--1042.
Full Text:
... 2008].Chen et al. [2003] were the first to present an aging theory based on a biologicalmetaphor. Using this approach, the work presented ...
... tweets and the authors. Followingthis intuition, we propose a content aging theory to automatically identify coherentdiscussions through a lifecycle-based content model.Many conventional ...
... the lifecycle of a term occurring in the tweetsthrough an aging theory that aimed at modeling the temporal usage of each keywordexpressed ...
... news topic ranking using media focus anduser attention based on aging theory. . In Proceedings of the 17th ACM Conference on Information ...