Emotional Analysis and Trends in Music Development

Today's world is exploding with new music and attributing to its diversity, it has become the most popular past time ever. Even though there are over ninety seven million songs on the internet, a descriptive study of emotions and trends in music development is still missing. Trends in music development represent how the music industry has grown throughout the years. In this paper, we use the million songs dataset, a publicly available dataset that contains audio features and metadata about a million songs, to dig deeper into the musical trends our world has experienced in the past few decades. By finding out the most popular genres and how their popularity has changed throughout time, we seek to provide concrete evidence of influence of technological advancements on music sector. Sentiments and emotions in songs are analyzed to see which genre promotes more positivity or negativity in its music, providing data to aid current music recommendation systems. Furthermore, we also analyzed the business values of various genres of music to shed some light on which genres are most profitable.