Skip to main content

Text Association

  • Chapter
  • First Online:
Book cover Text Mining

Part of the book series: Studies in Big Data ((SBD,volume 45))

  • 4053 Accesses

Abstract

This chapter is concerned with text association as the fundamental task of text mining.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
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

Notes

  1. 1.

    Text association which is mentioned in Sect. 4.4 is restricted to the association of documents or articles.

References

  1. Jo, T.: Normalized table matching algorithm as approach to text categorization. Soft Comput. 19, 839–849 (2015)

    Article  MathSciNet  Google Scholar 

  2. Rennie, J.D.M., Rifkin, R.: Improving multiclass text classification with the support vector machine. Technical Report AIM-2001-026, Massachusetts Institute of Technology (2001)

    Google Scholar 

  3. Sebastiani, F.: Machine learning in automated text categorization. ACM Comput. Surv. 34, 1–47 (2002)

    Article  Google Scholar 

  4. Tan, P., Steinbach, M., Kumar, V.: Introduction to Data Mining. Addison Wesely, Boston (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Jo, T. (2019). Text Association. In: Text Mining. Studies in Big Data, vol 45. Springer, Cham. https://doi.org/10.1007/978-3-319-91815-0_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-91815-0_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91814-3

  • Online ISBN: 978-3-319-91815-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics