Ontology-Based Sentiment Analysis Model of Customer Reviews for Electronic Products

This article reports on a generalizable system model design that analyzes the unstructured customer reviews inside the posts about electronic products on social networking websites. For the purposes of this study, posts on social networking websites have been mined and the keywords are extracted from such posts. The extracted keywords and the ontologies of electronic products and emotions form the base for the sentiment analysis model, which is used to understand online consumer behavior in the market. In order to enhance system accuracy, negating and enhancing terms are considered in the proposed model. As a result, it allows online businesses to use query to analyze the market trends of each product accurately based on the comments from user posts in social networking sites.