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http://dx.doi.org/10.3745/KIPSTD.2011.18D.4.237

Expansion of Opinion Mining based on Entity Association Network Model  

Kim, Keun-Hyung (제주대학교 경영정보학과)
Publication Information
The KIPS Transactions:PartD / v.18D, no.4, 2011 , pp. 237-244 More about this Journal
Abstract
Opinion Mining summarizes with classifying sensitive opinions of customers in huge online customer reviews for the attributes of products or services by positive and negative opinions. Because the customers represent their interests through subjective opinions as well as objective facts, the existing opinion mining techniques, which can analyze just the sensitive opinions, need to be expanded.. In this paper, We propose the novel entity association network model which expands the existing opinion mining techniques. The entity association model can not only represent positive and negative degree of the sensitive opinions, but also can represent the degree of the associations and relative importances between entities. We designed and implemented the customer reviews analysis system based on the entity association network model. We recognized that the system can represent more abundant information than the existing opinion mining techniques.
Keywords
Opinion Mining; Entity Association Network; Degree of Frequency; Degree of Shade; Degree of Association;
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