An Atypical Approach for Uncovering the Essence of Emotions in Consumer Reviews

Abstract

Reviews stationed on disparate portals of E-commerce and civil networks voice emotions of the consumer experiencing it. This convenient material available works as an absolute sufficient advice demanded by the audience willing to purchase the product or service. Underlying methods discover whether the speaker is satisfied or dissatisfied about a product but fails to imprison the reflection of human emotions. The momentous act of emotions in web reviews and its impact which is often undervalued is explored in this research article. The notion is to detect emotions from customer written text by utilizing the Emotion Revelation Framework (ERF). Analysis of ERF on Customer Review Dataset(CRD) caters to associations on what factors to focus upon for prosperity. An accuracy in terms of F1- score is obtained around 66% making use of CRD dataset.