D-HRSP: Dataset of helpful reviews for service providers

Abstract

Most common services are now provided through mobile applications; thus, the importance of mobile application reviews has increased. Service providers and developers seek helpful reviews to find useful information to improve their services. However, with currently existing indicators, e.g., star rating systems, it is difficult to identify reviews that are directly related to the quality of the service. Thus, in this study, we defined helpful mobile application reviews for service providers and developers based on the components of an existing service quality evaluation model. We also provide the D-HRSP (dataset of helpful reviews for service providers), which is a labeled dataset that can be used to examine helpful reviews. We also report the experimental results obtained with simple natural language processing techniques and machine learning and deep learning classification models. The experimental results demonstrate that the proposed definition can help address real-life problems and create opportunities for additional research into the identification of helpful mobile application reviews.