원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.8 No.8
2015.08
pp.111-118
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper mainly conducted two series of experiments. One is investigation between language dependent and language independent features. Bi-grams in Korean experiments and uni-grams in Chinese contributed most as basic features. And another one is utilization of Korean WordNet to improve the performance of Korean document classification. Korean WordNet is a Korean Lexical Semantic Network. Language independent features seem can lead better performance and stable. The performance of Korean text classification was improved by using Korean WordNet.
목차
Abstract
1. Introduction
2. Related Research
2.1. Statistical Research
2.2. WordNet Based Research
3. Document classification
3.1. Data
3.2. Document Classification
3.3. Tools and Evaluation Measure
4. Experiments
4.1. Korean and Chinese Document Classification Using Basic Feature Sets
4.2 Korean Document Classification Using Korean WordNet
5. Conclusion
ACKNOWLEDGEMENTS
References
1. Introduction
2. Related Research
2.1. Statistical Research
2.2. WordNet Based Research
3. Document classification
3.1. Data
3.2. Document Classification
3.3. Tools and Evaluation Measure
4. Experiments
4.1. Korean and Chinese Document Classification Using Basic Feature Sets
4.2 Korean Document Classification Using Korean WordNet
5. Conclusion
ACKNOWLEDGEMENTS
References
저자정보
참고문헌
자료제공 : 네이버학술정보