Text Mining Approach to Improve Mobile Role Playing Games Using Users’ Reviews

The genre characteristics of RPG (role-playing game), which have high expectations for sales and continuous profit generation, created a phenomenon that has attracted many developers to become interested in the market. However, recently, development been mass-produced includes similar content, sensational advertisements, low quality, excessive billing induction, negatively affected game market users’ gameplay experiences. In this regard, we conduct big data analysis on reviews find out what will be needed positive gaming experience mobile RPGs. User are collected Google Play Store analyzed ways improve gameplay. order extract meaningful information from data, use text mining techniques topic modeling with an LDA algorithm visualize data. We propose approach as practical method better design RPGs since it analyze objectively grasps their opinions based results can used develop played continuously by.