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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2005: Knowledge-Based Intelligent Information and Engineering Systems pp 90–96Cite as

An Application of Information Retrieval Technique to Automated Code Classification

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3681))

Abstract

This paper describes an application of information retrieval techniques to automated industry and occupation code classification for Korean Census records. The purpose of the proposed system is to convert natural language responses on survey questionnaires into corresponding numeric codes according to standard code book from the Census Bureau. The system was experimented with 46,762 industry records and occupation 36,286 records using 10-fold cross-validation evaluation method. As experimental results, the system showed 87.08% and 66.08% production rates when classifying industry records into level 2 and level 5 codes respectively. In semi-automated mode, it showed 99.10% and 92.88% production rates for level 2 and level 5 codes respectively.

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References

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Author information

Authors and Affiliations

  1. Dept. of Software, Hanshin University, Korea

    Heui Seok Lim

  2. Dept. of Information and Communications, Cheonan University, Korea

    Seong Hoon Lee

Authors
  1. Heui Seok Lim
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  2. Seong Hoon Lee
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Lim, H.S., Lee, S.H. (2005). An Application of Information Retrieval Technique to Automated Code Classification. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_14

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  • DOI: https://doi.org/10.1007/11552413_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28894-7

  • Online ISBN: 978-3-540-31983-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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