Article

Automatic syllabus classification

Authors:

Xiaoyan Yu,

Manas Tungare,

Weiguo Fan,

Manuel Perez-Quinones,

Edward A. Fox,

William Cameron,

GuoFang Teng,

Lillian CasselAuthors Info & Claims

JCDL '07: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries

Pages 440 - 441

https://doi.org/10.1145/1255175.1255265

Published: 18 June 2007 Publication History

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Abstract

Syllabi are important educational resources. However, searching for a syllabus on the Web using a generic search engine is an error-prone process and often yields too many non-relevant links. In this paper, we present a syllabus classifier to filter noise out from search results. We discuss various steps in the classification process, including class definition, training data preparation, feature selection, and classifier building using SVM and Naïve Bayes. Empirical results indicate that the best version of our method achieves a high classification accuracy, i.e., an F₁ value of 83% on average.

References

[1]

T. Joachims. Text categorization with support vector machines: Learning with many relevant features. In Proceedings of the European Conference on Machine Learning, Springer, 1998.

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[2]

A. Kennedy and M. Shepherd. Automatic identification of home pages on the web. In HICSS '05: Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4, Washington, DC, USA, 2005. IEEE Computer Society.

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[3]

S. -B. Kim, K. -S. Han, H. -C. Rim, and S. H. Myaeng. Some effective techniques for naive bayes text classification. IEEE Transactions on Knowledge and Data Engineering, 18(11):1457--1466, November 2006.

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[4]

M. Tungare, X. Yu, W. Cameron, G. Teng, M. Pérez-Quiñones, E. Fox, W. Fan, and L. Cassel. Towards a syllabus repository for computer science courses. In Proceedings of the 38th Technical Symposium on Computer Science Education (SIGCSE 2007), 2007.

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Yu XTungare MFan WPérez-Quiñones MFox ECameron WCassel L(2009)Automatic Genre-Specific Text ClassificationEncyclopedia of Data Warehousing and Mining, Second Edition10.4018/978-1-60566-010-3.ch020(120-127)Online publication date: 2009
https://doi.org/10.4018/978-1-60566-010-3.ch020
Chatvichienchai S(2009)An XML-Based Syllabus Repository System for Inter-university Credit Exchange SystemsProceedings of the 2009 International Conference on Computer Technology and Development - Volume 0210.1109/ICCTD.2009.53(460-464)Online publication date: 13-Nov-2009
https://dl.acm.org/doi/10.1109/ICCTD.2009.53
Yu XTungare MFan WPérez-Quiñones MFox ECameron WCassel L(2007)Using automatic metadata extraction to build a structured syllabus repositoryProceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers10.5555/1780653.1780709(337-346)Online publication date: 10-Dec-2007
https://dl.acm.org/doi/10.5555/1780653.1780709
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Index Terms

Automatic syllabus classification
1. Applied computing
  1. Computers in other domains
    1. Digital libraries and archives
2. Information systems
  1. Information systems applications
    1. Digital libraries and archives

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Published In

JCDL '07: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries

June 2007

534 pages

ISBN:9781595936448

DOI:10.1145/1255175

General Chair:
Edie Rasmussen
University of British Columbia, Canada
,
Program Chairs:
Ray R. Larson
University of California, Berkeley
,
Elaine Toms
Dalhousie University, Canada
,
Shigeo Sugimoto
University of Tsukuba, Japan

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 18 June 2007

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June 18 - 23, 2007

BC, Vancouver, Canada

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Overall Acceptance Rate 415 of 1,482 submissions, 28%

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Yu XTungare MFan WPérez-Quiñones MFox ECameron WCassel L(2009)Automatic Genre-Specific Text ClassificationEncyclopedia of Data Warehousing and Mining, Second Edition10.4018/978-1-60566-010-3.ch020(120-127)Online publication date: 2009
https://doi.org/10.4018/978-1-60566-010-3.ch020
Chatvichienchai S(2009)An XML-Based Syllabus Repository System for Inter-university Credit Exchange SystemsProceedings of the 2009 International Conference on Computer Technology and Development - Volume 0210.1109/ICCTD.2009.53(460-464)Online publication date: 13-Nov-2009
https://dl.acm.org/doi/10.1109/ICCTD.2009.53
Yu XTungare MFan WPérez-Quiñones MFox ECameron WCassel L(2007)Using automatic metadata extraction to build a structured syllabus repositoryProceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers10.5555/1780653.1780709(337-346)Online publication date: 10-Dec-2007
https://dl.acm.org/doi/10.5555/1780653.1780709
Yu XTungare MFan WPérez-Quiñones MFox ECameron WCassel L(2007)Using Automatic Metadata Extraction to Build a Structured Syllabus RepositoryAsian Digital Libraries. Looking Back 10 Years and Forging New Frontiers10.1007/978-3-540-77094-7_43(337-346)Online publication date: 2007
https://doi.org/10.1007/978-3-540-77094-7_43

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Chinese text classification by the Naïve Bayes Classifier and the associative classifier with multiple confidence threshold values

Machine learning in building a collection of computer science course syllabi

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Chinese text classification by the Naïve Bayes Classifier and the associative classifier with multiple confidence threshold values

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Ensemble of feature sets and classification algorithms for sentiment classification

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