Skip to main content

Example-Based Chinese Text Filtering Model

  • Conference paper
Internet Applications (ICSC 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1749))

Included in the following conference series:

Abstract

This paper briefly describes the background of text filtering and proposes an example-based Chinese text filtering model. It analyzes the structure of the texts as example, extracts the keywords from the texts by means of the text hierarchical analysis presented in this paper, constructs the user profiles which consist of the keywords above, and then filters the new text collections. Consequently, based on the user feedback, it expands the number of example texts, applies the approach of Latent Semantic Indexing to filter texts, and updates the user profiles to improve the efficiency of text filtering systems.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Yao, T.: Natural Language Understanding. TsingHua University Press, Beijing (1995)

    Google Scholar 

  2. Salton, G., Allen, J.: Automatic Text Decomposition and Structuring. In: RIAO 1994, Paris, pp. 6–20

    Google Scholar 

  3. Foltz, P.W.: Latent Semantic Analysis for Text-Based Research. Behavior Research Methods, Instruments and Computers 28(2), 197–202 (1996)

    Article  Google Scholar 

  4. Yan, T.W., Garcia-Molina, H.: SIFT- A tool for wide-area information dissemination. In: Proceeding of the USENIX Technical Conference, pp. 177–186 (1995)

    Google Scholar 

  5. Lu, Q., Eichstaedt, M., Ford, D.: Efficient profile matching for large scale Webcasting, http://decweb.ethz.ch/WWW7/1923/com1923.htm

  6. Hind, J.: Organizational patterns in discourse. Syntax and Semantics: Discourse and Syntax, vol. 12, pp. 135–158. Academic Press, New York (1979)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hongfei, L., Xuegang, Z., Tianshun, Y. (1999). Example-Based Chinese Text Filtering Model. In: Hui, L.C.K., Lee, DL. (eds) Internet Applications. ICSC 1999. Lecture Notes in Computer Science, vol 1749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-46652-9_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-46652-9_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66903-6

  • Online ISBN: 978-3-540-46652-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics