원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.8 No.2
2015.04
pp.107-118
피인용수 : 0건 (자료제공 : 네이버학술정보)
목차
Abstract
1. Introduction
2. Related Work
3. The Algorithm to Extract Weibo User Interest Tags
3.1 WUKE Algorithm
3.2 WUTE Algorithm
4. Experimental and Analysis
4.1 Weibo Dataset
4.2 Training Dataset for Classification Model
4.3 Segmentation Module
4.4 Classification model
4.5 Clustering on Weibo Data
4.6 The Comparison between HMM and WUKE
4.7 The Comparison between SVM and WUTE
5. Conclusion
Acknowledgements
References
1. Introduction
2. Related Work
3. The Algorithm to Extract Weibo User Interest Tags
3.1 WUKE Algorithm
3.2 WUTE Algorithm
4. Experimental and Analysis
4.1 Weibo Dataset
4.2 Training Dataset for Classification Model
4.3 Segmentation Module
4.4 Classification model
4.5 Clustering on Weibo Data
4.6 The Comparison between HMM and WUKE
4.7 The Comparison between SVM and WUTE
5. Conclusion
Acknowledgements
References
저자정보
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자료제공 : 네이버학술정보