Case Studies

  • Sholom M. Weiss
  • Nitin Indurkhya
  • Tong Zhang
Part of the Texts in Computer Science book series (TCS)


In this chapter case studies for text-mining applications are presented. Each case study is examined for the following characteristics: (a) problem description, (b) solution overview, (c) methods and procedures, and (d) system deployment. The following applications are reviewed: market intelligence from the web, lightweight document matching for digital libraries, generating model cases for help desk applications, assigning topics to news articles, e-mail filtering, search engines, extracting named entities from documents, mining social media and customized newspapers.


Search Engine Digital Library Inverted Index Shared Task Interbank Market 
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.

Copyright information

© Springer-Verlag London 2015

Authors and Affiliations

  1. 1.Department of Computer ScienceRutgers UniversityPiscatawayUSA
  2. 2.School of Computer Science and EngineeringUniversity of New South WalesSydneyAustralia
  3. 3.Department of Statistics, Hill CenterRutgers UniversityPiscatawayUSA

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