Spotify App User Sentiment Reviews

This dataset features over 51,000 user reviews for the Spotify application, collected from the Google Play Store between January and July 2022. Its primary purpose is to facilitate the analysis of user sentiments and feedback regarding the app. Each review has been carefully labelled as either "Positive" or "Negative" based on its sentiment, offering a clear basis for sentiment analysis. The collection is well-documented, well-maintained, and contains clean data, making it a valuable resource for understanding user experience and satisfaction.

The dataset contains user reviews and their corresponding sentiment labels. While specific column names are not detailed in the available information, it can be inferred that it includes columns for the review text itself and a sentiment classification (e.g., 'Review_Text', 'Sentiment_Label').

The dataset comprises over 51,000 user reviews. Data files are typically in CSV format. The sentiment distribution within the dataset is notable: 56% of reviews are labelled as Positive, while 44% are Negative. The exact number of rows or records is more than 51,000.

This dataset is highly versatile and can be applied to various analytical tasks. Ideal applications include sentiment analysis to gauge public opinion, trend analysis over time to observe shifts in user perception, and feature extraction to pinpoint specific aspects of the Spotify app that users commend or criticise. It is particularly useful for gaining deeper insights into user experience and satisfaction, and for identifying areas where the application could be improved. It has been used for learning, research, and application development.

The data was collected from the Google Play Store, making its regional coverage global, reflecting reviews from users worldwide. The time range for the reviews spans from January to July 2022. The scope focuses exclusively on user feedback pertaining to the Spotify application.

CC-BY

This dataset is particularly beneficial for researchers and developers seeking to explore user perceptions and pinpoint areas for application enhancement. It is also suitable for individuals and organisations engaged in learning, academic research, and the development of various applications, especially those involving text analysis or machine learning.

Original Data Source: Spotify User Reviews