Earticle

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

키워드

저자

• Lirong Qiu [ School of Information Engineering, Minzu University of China, Bejing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605