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Contextual Ontology Based Opinion Mining

The Web contains a wealth of product reviews, but sifting through them is daunting task. Context-aware systems are designed to react to the constant changes in the environment. Many users may have different needs in different situations, every individual’s views and suggestions are valuable information in opinion summarization process. Though lots of views and suggestions are available for different products in websites yet we lack in most appropriate opinion for any selective product at a particular situation. In this paper Customer reviews are collected as first phase, and features of products and contextual information in the customer reviews are represented in ontology. Now opinion mining is done to determine the polarity of the product based on the context and features. So contextual ontology based opinion mining system is developed and opinion summarization is done.