Automated classification of industry and occupation codes using document classification method

Heui Seok Lim; Hyeoncheol Kim

doi:10.1007/978-3-540-30499-9_127

Automated classification of industry and occupation codes using document classification method

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

This paper describes development of the automated industry and occupation coding system for the Korean Census records. The purpose of the system is to convert natural language responses on survey questionnaires into corresponding numeric codes according to standard code book from the Census Bureau. We employ kNN(k Nearest Neighbors)-based document classification method and information retrieval techniques to index and to weight index terms. In order to solve the description inconsistency of many respondents, we use nouns and phrases acquired from past census data. Using the data, we could estimate the nouns or phrases frequently used to describe a certain code. The Experimental results show that the past census data plays an important role in increasing code classification accuracy.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Nikhil R. Pal, Srimanta Pal, Nikola Kasabov, Rajani K. Mudi, Swapan K. Parui
Publisher	Springer Verlag
Pages	827-833
Number of pages	7
ISBN (Print)	3540239316, 9783540239314
DOIs	https://doi.org/10.1007/978-3-540-30499-9_127
Publication status	Published - 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3316
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-540-30499-9_127

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Lim, H. S., & Kim, H. (2004). Automated classification of industry and occupation codes using document classification method. In N. R. Pal, S. Pal, N. Kasabov, R. K. Mudi, & S. K. Parui (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 827-833). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3316). Springer Verlag. https://doi.org/10.1007/978-3-540-30499-9_127

Automated classification of industry and occupation codes using document classification method. / Lim, Heui Seok ; Kim, Hyeoncheol.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Nikhil R. Pal; Srimanta Pal; Nikola Kasabov; Rajani K. Mudi; Swapan K. Parui. Springer Verlag, 2004. p. 827-833 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3316).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Lim, HS & Kim, H 2004, Automated classification of industry and occupation codes using document classification method. in NR Pal, S Pal, N Kasabov, RK Mudi & SK Parui (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3316, Springer Verlag, pp. 827-833. https://doi.org/10.1007/978-3-540-30499-9_127

Lim HS , Kim H. Automated classification of industry and occupation codes using document classification method. In Pal NR, Pal S, Kasabov N, Mudi RK, Parui SK, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 827-833. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-30499-9_127

Lim, Heui Seok ; Kim, Hyeoncheol. / Automated classification of industry and occupation codes using document classification method. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Nikhil R. Pal ; Srimanta Pal ; Nikola Kasabov ; Rajani K. Mudi ; Swapan K. Parui. Springer Verlag, 2004. pp. 827-833 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Automated classification of industry and occupation codes using document classification method

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