Multi-attribute classification of text documents as a tool for ranking and categorization of educational innovation projects

Alexey An; Bakytkan Dauletbakov; Eugene Levner

doi:10.1007/978-3-642-54903-8_34

Multi-attribute classification of text documents as a tool for ranking and categorization of educational innovation projects

Alexey An, Bakytkan Dauletbakov, Eugene Levner

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

We suggest a semi-automatic text processing method for ranking and categorization of educational innovation projects (EIP). The EIP is a nation-wide program for strategic development of an university or a group of academic institutions. Our approach to the EIP evaluation is based on the multi-dimensional system ranking that uses quantitative indicators for three main missions of higher education institutions, namely, education, research, and knowledge transfer. The main part of this paper is devoted to the design of a semi-automatic method for ranking the EIPs exploiting multi-attribute document classification. The ranking methodology is based on the generalized Borda voting method.

Original language	English
Title of host publication	Computational Linguistics and Intelligent Text Processing - 15th International Conference, CICLing 2014, Proceedings
Publisher	Springer Verlag
Pages	404-416
Number of pages	13
Edition	PART 2
ISBN (Print)	9783642549021
DOIs	https://doi.org/10.1007/978-3-642-54903-8_34
State	Published - 2014
Externally published	Yes
Event	15th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2014 - Kathmandu, Nepal Duration: 6 Apr 2014 → 12 Apr 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8404 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2014
Country/Territory	Nepal
City	Kathmandu
Period	6/04/14 → 12/04/14

Keywords

Borda ranking method
Text classification
educational innovation projects
numerical classifiers

Access to Document

10.1007/978-3-642-54903-8_34

Cite this

An, A., Dauletbakov, B., & Levner, E. (2014). Multi-attribute classification of text documents as a tool for ranking and categorization of educational innovation projects. In Computational Linguistics and Intelligent Text Processing - 15th International Conference, CICLing 2014, Proceedings (PART 2 ed., pp. 404-416). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8404 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-642-54903-8_34

An, Alexey ; Dauletbakov, Bakytkan ; Levner, Eugene. / Multi-attribute classification of text documents as a tool for ranking and categorization of educational innovation projects. Computational Linguistics and Intelligent Text Processing - 15th International Conference, CICLing 2014, Proceedings. PART 2. ed. Springer Verlag, 2014. pp. 404-416 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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An, A, Dauletbakov, B & Levner, E 2014, Multi-attribute classification of text documents as a tool for ranking and categorization of educational innovation projects. in Computational Linguistics and Intelligent Text Processing - 15th International Conference, CICLing 2014, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8404 LNCS, Springer Verlag, pp. 404-416, 15th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2014, Kathmandu, Nepal, 6/04/14. https://doi.org/10.1007/978-3-642-54903-8_34

Multi-attribute classification of text documents as a tool for ranking and categorization of educational innovation projects. / An, Alexey; Dauletbakov, Bakytkan; Levner, Eugene.
Computational Linguistics and Intelligent Text Processing - 15th International Conference, CICLing 2014, Proceedings. PART 2. ed. Springer Verlag, 2014. p. 404-416 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8404 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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An A, Dauletbakov B, Levner E. Multi-attribute classification of text documents as a tool for ranking and categorization of educational innovation projects. In Computational Linguistics and Intelligent Text Processing - 15th International Conference, CICLing 2014, Proceedings. PART 2 ed. Springer Verlag. 2014. p. 404-416. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-54903-8_34

Multi-attribute classification of text documents as a tool for ranking and categorization of educational innovation projects

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