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공공누리This item is licensed Korea Open Government License

Alternative Title
Guiding Practical Text Classification Framework to Optimal State in Multiple Domains
Author(s)
최성필맹성현조현양
Publication Year
2009-06-22
Abstract
This paper introduces DICE, a Domain-Independent text Classification Engine. DICE is robust, efficient, and domain-independent in terms of software and architecture. Each module of the system is clearly modularized and encapsulated for extensibility. The clear modular architecture allows for simple and continuous verification and facilitates changes in multiple cycles, even after its major development period is complete.
Keyword
Document classification; test bed; machine learning; text categorization; feature selection; text mining; lemmatization
Journal Title
Transactions on Internet and Information Systems (TIIS)
Citation Volume
3
ISSN
1976-7277
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/13805
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