Analysis of App Recommendations and User Reviews
Published: 19 June 2024| Version 1 | DOI: 10.17632/2p8w7p8kty.1
Contributor:
RAMNATH MDescription
This dataset provides a detailed sentiment analysis of user reviews for the app, alongside comprehensive app information from the Google Play Store. The first dataset (App_Sentiment_Analysis.csv) includes translated review texts, sentiment classifications, and numerical scores for sentiment polarity and subjectivity, offering insights into user opinions and experiences. The second dataset (Review.csv) covers various attributes of several apps, such as their ratings, review counts, sizes, installation numbers, content ratings, genres, and more. Together, these datasets facilitate a thorough analysis of user feedback and app performance, supporting app recommendation and improvement strategies.
Files
Institutions
Anna University Chennai
Categories
Mobile Device, Feedback, Sentiment Analysis