IR-QUMA (Telegram) Machine Learning Data Experiments

The IR-QUMA study (Iranian Survey on Quality in Messenger Apps) was conducted to evaluate the quality of some messenger applications. According to the evaluation results, the hybrid DD-KARB method (with a combination of semantics-awareness and data-drivenness) is more effective than famous machine learning methods (Deep Learning and SVM classification) and can compute a somehow good estimation for the messenger application user quality scores. Therefore, DD-KARB can be considered a method for quality benchmarking in this technical context. Details about DD-KARB method is available from https://arxiv.org/abs/2007.05874