Topic evolution based on the probabilistic topic model: a review

Author:

Zhou Houkui,Yu Huimin,Hu Roland

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Theoretical Computer Science

Reference61 articles.

1. Allan J. Introduction to topic detection and tracking. Topic Detection And Tracking. The Information Retrieval Series, Vol 12. Springer US, 2002, 1–16

2. Allan J, Carbonell J G, Doddington G, Yamron J, Yang Y. Topic detection and tracking pilot study final report. In: Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop. 1998, 194–218

3. Nallapati R, Feng A, Peng F, Allan J. Event threading within news topics. In: Proceedings of the 13th ACM International Conference on Information and Knowledge Management. 2004, 446–453

4. Morinaga S, Yamanishi K. Tracking dynamics of topic trends using a finite mixture model. In: Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2004, 811–816

5. Kumar R, Mahadevan U, Sivakumar D. A graph-theoretic approach to extract storylines from search results. In: Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2004, 216–225

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