An Agent Based Framework for Sentiment Classification of Online Reviews Using Ontology
In this paper, the authors design and develop an agent based framework for sentiment classification of online reviews using ontology. The book review ranking is based on the sentiment classification result. They propose a novel approach with the help of the JADE platform to solve problems by non-visual automatic sentiment classification. The description of book reviews ranking are generated from the ontology based mapping. This approach employs the data extraction agent which is used to retrieve the books comments i.e., the user reviews from the specified blogs. The second agent is the recommendation agent i.e., domain ontology is used for identifying domain related features in comments. The third agent is feature selection agent in which XML document content is split into single sentence.