Sentiment classification of web opinion documents

The era of social networking has lead to the availability of vast amount of information in the web. People express their opinion about product, services or public issues in the forums, review sites, blogs etc. But in order to get useful data it becomes necessary to apply NLP techniques which make it easy for the people to make decisions at the time of buying products or contracting services. All the users are not concerned with all features of a product. Hence this paper proposes a feature based sentiment classification method that helps a user to make decisions easily based on their features of interest.