A News Analysis and Tracking System

  • Sk. Mirajul Haque
  • Lipika Dey
  • Anuj Mahajan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5909)

Abstract

Continuous monitoring of web-based news sources has emerged as a key intelligence task particularly for Homeland Security. We propose a system for web-based news tracking and alerting. Unlike subscription-based alerts, alerting is implemented as a personalized service where the system is trained to recognize potentially important news based on user preferences. Preferences are expressed as combinations of topics and can change dynamically. The system employs Latent Dirichlet Allocation (LDA) for topic discovery and Latent Semantic Indexing (LSI) for alerting.

Keywords

Latent Dirichlet Allocation News Story News Item Latent Semantic Indexing Training Document 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Sk. Mirajul Haque
    • 1
  • Lipika Dey
    • 1
  • Anuj Mahajan
    • 1
  1. 1.TCS Innovation LabsDelhi

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