Skip to main content
SpringerLink
Log in

Topic Detection and Tracking

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems

  • 44 Accesses

Definition

According to the definition at http://projects.ldc.upenn.edu/TDT/, Topic Detection and Tracking (TDT) is a multi-site research project to develop core technologies for a news understanding systems. Specifically, TDT systems discover the topical structure in unsegmented streams of news reporting as it appears across multiple media and in different languages. Some terms are defined below before the TDT problem is fully understood (The definitions are borrowed from Omid Dadgar’s work).

  1. 1.

    Event – An event is something that happens at some specific time and place, and the unavoidable consequences. Specific elections, accidents, crimes and natural disasters are examples of events.

  2. 2.

    Activity – An activity is a connected set of actions that have a common focus or purpose. Specific campaigns, investigations, and disaster relief efforts are examples of activities.

  3. 3.

    Story – A story is a newswire article or a segment of a news broadcast with a coherent news focus. They must contain...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 6,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Allan J. Topic detection and tracking. Norvell: Kluwer; 2002.

    Book  MATH  Google Scholar 

  2. Allan J, Carbonell J, 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. p. 194–218.

    Google Scholar 

  3. Makkonen J, Ahonen-Myka H. Utilizing temporal expressions in topic detection and tracking. In: Proceedings of the 7th European Conference Research and Advanced Technology for Digital Libraries; 2003. p. 393–404.

    Chapter  MATH  Google Scholar 

  4. Mori M, Miura T, Shioya I. Topic detection and tracking for news web pages. In: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence; 2006. p. 338–42.

    Google Scholar 

  5. Ruifang H, Bing Q, Ting L, Sheng L. The topic detection and tracking with topic sensitive language model. In: Proceedings of the International Conference on Mutilingual Information Processing; 2005. p. 324–7.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Microsoft Research Asia, Beijing, China

    Ning Liu

Authors
  1. Ning Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ning Liu .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Microsoft Research Asia, Microsoft Corporation, Beijing, Haidian, China

    Zheng Chen

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Liu, N. (2018). Topic Detection and Tracking. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_430

Download citation

Publish with us

Policies and ethics

Search

Navigation