원문정보
보안공학연구지원센터(IJGDC)
International Journal of Grid and Distributed Computing
Vol.8 No.5
2015.10
pp.165-172
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Analyzing user opinion and building features model of entities is very important for sentiment analysis and opinion mining, which is the fundamental work for social network analysis. Opinions of entity can be classified into two types: explicit aspect expressions and implicit aspect impressions, and implicit aspect expressions might have some relationships which can be denoted by domain specific knowledge, existing previous works have not addressed in much detail. This paper defines an opinion mining model for implicit aspect expression based on semantic ontology, and proposes semantic similarity estimation approaches of entity by the domain ontology.
목차
Abstract
1. Introduction
2. Related Work
3. Implicit Opinion Analysis Model based on Semantic Ontology
3.1. Model Formalization
3.2. Semantic Labeling Based On Ontology
4. Use Case Scenario
4.1. Baseline Scenario
4.2. Evaluation
5. Conclusion and Future Work
Acknowledgements
References
1. Introduction
2. Related Work
3. Implicit Opinion Analysis Model based on Semantic Ontology
3.1. Model Formalization
3.2. Semantic Labeling Based On Ontology
4. Use Case Scenario
4.1. Baseline Scenario
4.2. Evaluation
5. Conclusion and Future Work
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보
