Micro-blog Post Topic Drift Detection Based on LDA Model-Reference-Cited by-同舟云学术

Micro-blog Post Topic Drift Detection Based on LDA Model

Published:2013 Issue: Volume: Page:106-118
ISSN:0302-9743
Container-title:Behavior and Social Computing
language:
Short-container-title:

Author:

Liu Quanchao,Huang Heyan,Feng Chong

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-04048-6_10

Reference16 articles.

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2. Zhang, C., Sun, J., Ding, Y.: Topic Mining for Microblog Based on MB-LDA Model. Journal of Computer Research and Development 48(10), 1795–1802 (2011)

3. Halliday, M., Hasan, R.: Cohesion in English. Longman Group, New York (1976)

4. Richmond, K., Smith, A., Amitay, E.: Detecting Subject Boundaries within Text: A Language Independent Statistical Approach. In: Proceedings of the Second Conference on Empirical Methods in Natural Language Processing (EMNLP 1997), pp. 47–54 (1997)

5. Nakhimovsky, A.: Aspect, assectual class, and the temporal structure of narrative. Computational Linguistics 14(2), 29–43 (1998)

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