Opinion Spam Detection and Analysis by Identifying Domain Features in Product Reviews

Abstract

With the rapid advent of technology there is an exponential number of users who purchase online products and express their opinions in form of reviews. It is observed that recommending the deserving products to people often depend on the sentiment expressed in the reviews. Classification of the reviews as genuine and fake is one of the hardest problems in the current world. Feature Engineering is an active area of research in text analytics and opinion mining and plays a significant role in extracting features from reviews. Genuine reviews often contain higher percentage of concrete information or domain specific information as these reviews are written based on experience, but spam reviews often lack this information This paper focuses on, using Latent Dirichlet Allocation topic model to extract domain features in product reviews and use this as one of the main features to identify fake reviews.