Determining The Best Entity On Comparison Mining Using Sequential Rule Approaches

Abstract

With the increased amount of information rapidly available on the World Wide Web, Internet users that want to know opinions about products are becoming difficult to determine which product (entity) is the best on many product sites. When the product manufacturers are interesting how the product compares with those of competitors, opinion mining on comparative sentences becomes very important. Mining on comparative sentences is called comparison mining. The purpose of this paper is to get the best entity from superlative relations in the comparison mining. This paper focuses on mining comparative (opinion) words and determines the best entity on comparative sentences from the product reviews data set. Determining the best entity depends on just one feature that has same nature or application domain. This paper mentions a rule- based approach that integrates two sequential rule mining techniques that utilizes POS tagging. Determining the best entity on comparative sentences is effective and time saving, not only for individuals but also for organizations such as business intelligence units.