Publication

Abstract : Recently, the use of social media platforms for recommendations has dramatically increased. Today, people frequently use social media websites like Facebook and Twitter, as well as other websites and apps for food and music reviews. User reviews of the products and services may be found on many of these social media websites. Extraction of the emotions from such online user reviews, comments, and other types of content lead to sentiment analysis. Various music apps analyse our music data using cutting-edge data science and machine learning techniques to produce some really cool results. Spotify, for example, is one of the most popular apps and is powered by the music we listen to, the songs we like, and the playlists we create and follow to produce a personalized product for its users and community. Reviews and assessments are crucial in determining how satisfied users are with a particular entity. The polarity is then determined using these. This study discusses a method for sentiment analysis on music apps. To provide relevant results, the factors that led users to rate programs as 1, 5, or other values will be further examined.