A Smartphone App Based Model for Classification of Users and Reviews (A Case Study for Tourism Application)

Abstract

Classification of reviews provided by the users plays a vital role in many real world applications. Many industries in the current era depend on the reviews of the customers/ users for planning their business and providing better customer care services. It deals with the classification of reviews to validate the objectives of the organization. The evaluations and follow up goals can be determined as positive or negative types of reviews. This paper tried to propose a model that performs the classification of users or customer reviews using ratings provided by users or reviewers. In the proposed model, users can give feedback on the location through the Android App, which will be stored in a cloud platform. This real time dataset can be used for tourism applications in the proposed work. The algorithm is used to classify a review as either an honest review or a fake review. It also tries to classify the users as honest, suspicious, and malicious. Feedbacks classified as honest and given by honest users only will be considered authentic information by the other users during the search operation.