Computer programming skills are essential for today’s employment market, mainly when studied from a young age. However, due to the constantly increasing number of such applications and various customer reviews, comprehensively analysing users’ feedback is often challenging. Aspect-based sentiment Analysis (ABSA) captures users’ sentiment on a particular aspect and classifies it as positive or negative. ABSA is an increasingly popular technique but is rarely applied in analysing users’ reviews for game-based mobile applications on computer programming for children. We retrieved 15 game-based mobile applications from the Apple App Store and Google Play Store to examine the accuracy and efficiency of ABSA in mobile application user reviews. A technique known as the Valence Aware Dictionary for Sentiment Reasoning (VADER) was utilised to scrape each mobile application’s reviews, and ABSA was applied to app features, usability, content of teaching, user satisfaction, effectiveness and payment/free services. The results concluded that learnability, user satisfaction, and efficiency are the mobile application aspects that users most commented on. In addition, effectiveness showed the highest difference between positive and negative comments.