Dataset Aspect-Based Sentiment Analysis of Indonesian Digital Banking Applications Using Multiple Machine Learning Models

This dataset contains user reviews of the Bank Saqu, Bank Jago, and Superbank mobile banking applications collected from the Google Play Store. The dataset consists of three primary attributes: rating, timestamp, and review text. The data were gathered from publicly available user reviews on the Google Play Store and compiled to support research and analytical activities related to digital banking services. The dataset can be utilized for a wide range of Natural Language Processing (NLP) and data mining applications, including sentiment analysis, aspect-based sentiment analysis (ABSA), opinion mining, and user experience evaluation. By leveraging this dataset, researchers and practitioners can gain insights into customer perceptions, identify strengths and weaknesses of digital banking platforms, and analyze factors that influence user satisfaction and overall service quality in the digital banking sector.