Sentiment Analysis Using Common-Sense and Context Information

被引:91
作者
Agarwal, Basant [1 ,2 ]
Mittal, Namita [2 ]
Bansal, Pooja [2 ]
Garg, Sonal [2 ]
机构
[1] Swami Keshvanand Inst Technol Management & Gramot, Dept Comp Sci & Engn, Jaipur 302017, Rajasthan, India
[2] MNIT, Dept Comp & Engn, Jaipur 302017, Rajasthan, India
关键词
Data mining - Ontology - Semantics;
D O I
10.1155/2015/715730
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Sentiment analysis research has been increasing tremendously in recent times due to the wide range of business and social applications. Sentiment analysis from unstructured natural language text has recently received considerable attention from the research community. In this paper, we propose a novel sentiment analysis model based on common-sense knowledge extracted from ConceptNet based ontology and context information. ConceptNet based ontology is used to determine the domain specific concepts which in turn produced the domain specific important features. Further, the polarities of the extracted concepts are determined using the contextual polarity lexicon which we developed by considering the context information of a word. Finally, semantic orientations of domain specific features of the review document are aggregated based on the importance of a feature with respect to the domain. The importance of the feature is determined by the depth of the feature in the ontology. Experimental results show the effectiveness of the proposed methods.
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收藏
页数:9
相关论文
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