Analyzing User Sentiment in Google Play Store Reviews: A Natural Language Processing Approach

With the rapid expansion of mobile apps, the Google Play Store has evolved into a vast collection of user-generated reviews that offer valuable insights. Analyzing these reviews is essential for app developers, marketers, and users. This study introduces a sophisticated natural language processing (NLP) strategy to evaluate user sentiment in Google Play Store reviews. By utilizing cutting-edge NLP methods, we extract valuable information from extensive review datasets. Our approach includes data preparation, sentiment analysis, and visualization techniques to provide practical insights into user opinions on different apps. We showcase the effectiveness of our method through case studies and empirical assessments, illustrating its usefulness in understanding user preferences, pinpointing areas for enhancement, and guiding decision-making in app development.