Feature Based Semantic Polarity Analysis Through Ontology
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 1
Abstract
Abstract: Opinion mining, a trending research area where customers feels that opinions of others are alwaysimportant for making decisions while purchasing the products. Here the problem is to collect those opinionsand preprocess them. Thus, the customer reviews have been collected and after that Ontology is constructed tostructure the information available in unstructured text reviews and to exploit semantic relation between them.Then we extract the features of the product and their opinions further polarities (positive, negative or neutral) ofdifferent features of certain digital products are identified. Opinions of different features of productivitycustomer are classified and summarized by an enhanced opinion mining technique. The performance of thesystem is evaluated by metrics such as precisions, recall and F-measure. This information provided to users willbe more helpful to make decisions before buying a product
Authors and Affiliations
Dr. M. S. Anbarasi , Sarathkumar. B , Bomanna jaswanth , Shahul Nikamuthul asiqine. H
Keywords
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