Mobile App Logo and User Reviews Recommendation

This dataset offers thorough app metadata from the Google Play Store and a sentiment analysis of user reviews for the app. The first dataset (App_Sentiment_Analysis.csv) provides insights into user views and experiences via translated review texts, sentiment classifications, and numerical ratings for sentiment polarity and subjectivity. The second dataset (Review.csv) covers various program parameters, including ratings, review counts, sizes, installation counts, content ratings, genres, and more. When combined, these datasets allow for an in-depth examination of user reviews and app performance, which supports tactics for app suggestion and enhancement. And also used app logo images using recommendations in this dataset.

本数据集全面地提供了来自Google Play Store的应用程序元数据以及用户评论的情感分析。首个数据集（App_Sentiment_Analysis.csv）通过翻译后的评论文本、情感分类以及情感极性和主观性数值评分，深入洞察用户的观点和体验。第二个数据集（Review.csv）涵盖了多种程序参数，包括评分、评论数量、文件大小、安装次数、内容评级、类型等。合并这两个数据集，可以实现对用户评论和应用程序表现的深度分析，从而支持应用推荐和优化的策略。此外，本数据集还采用了基于该数据集的建议来使用应用标志图像。