Analyzing User Behavior in Mobile Game Applications Using Deep Data Analysis Approach

User reviews on platforms like Google Play Store shape mobile game demand through digital word-of-mouth (eWOM), directly influencing user preferences. This study applies Latent Semantic Analysis (LSA) to survey feedback, uncovering key drivers of satisfaction and dissatisfaction across mini-games, large area games, and enterprise applications. Positive sentiment is linked to entertainment value, ease of use, and appealing design, while negative feedback centers on bugs, poor gameplay mechanics, and intrusive ads. The analysis reveals both psychological and functional factors shaping user attitudes. Findings offer actionable insights for developers to enhance design, address common frustrations, and foster long-term engagement. These insights serve as a strategic guide for improving user experience and remaining competitive in the mobile gaming market.