Abstract
Online product reviews have become an important opinion resource which many researchers pay their attention to. In this paper, a novel method of opinion mining is proposed and evaluated by a collection of real online product reviews. A hierarchical fuzzy domain sentiment ontology-FDSO has been introduced by this approach, which defines a space of product features and corresponding opinions, thus makes it possible for a product to be classified and scored by commonly accepted features. Therefore enhance the user experience to search a product and compare it with other products feature by feature. The evaluation is based on the Chinese product reviews collected from 360buy.com. The experimental results show that our approach is able to automatically identify the polarity for a large of sentiment expressions.
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