A Framework to Analyze Comments for Educational Apps on Google Play Store

Abstract

School going students are often juggling between their studies and their parents’ expectations to perform well, often leading to educational stress. After a quick survey of 10th Grade students in India, it was found that difficulty in understanding mathematics is one of the leading causes of stress. To moderate such stress and help towards making mathematics a joyful experience, ReviseOnTheGo, a suite of mobile apps were developed. These applications were published to the Google Play Store and there are about 30000+ downloads in total to date. A lot of feedback through 484 ratings, about 100+ ratings with comments were received. Young students express their feedbacks differently, for instance, their ratings and comments may not be aligned. These comments and ratings are the only interface between the developer and the students, hence they are crucial for the fine-tuning of User Interface, Information Architecture, and its contents. There is a lack of analytics frameworks which differentiate between the choice of words and their intended meaning of these young students. The developed framework attempts to bridge this gap by performing sentiment analysis based on parameters such as discrepancy between the rating and tone of the comment, the student’s gender, feedback persona, use of slang, number of words used and grammatical errors. The framework provides a better view by objectively looking at these parameters and unequivocally classifying the emotional response.