Goal: Rating Prediction of Google Play Store Apps
Summary:
In this project, we will be using the dataset of Google Play Store apps to help app-making businesses in Android Market.
By understanding the factors that influence app ratings can help app developers create better products. By analyzing user reviews, developers can identify areas for improvement and make changes to increase user satisfaction.
In order to achieve those goals, we will conduct effective machine learning models to analyze and predict the app ratings based on category and price the app, number of user reviews, install amount, and target age group.
Also, by using NLP modeling, we will conduct sentiment analysis based on the users’ reviews of apps to predict the type of sentiment. Overall, our project aim to provide valuable insights for both app developers and consumers, leading to better app products and more satisfying user experience.