A Model for Predicting Pop Music Popularity and Its Different Characteristics Based on Multiple Linear Regression
Beinuo Guo · Academic Journal of Computing & Information Science · 2021
Pop songs are pretty diverse in the current digital music market. The article focuses on how different characteristics of a pop song can affect its popularity. In this paper, multiple linear regression is used to predict the model of pop song's popularity. Also, a Matlab code is made in order to achieve an ideal optimal popular pop song. The article can primarily answer the questions: What determines the popularity of a song? What kind of music do people like most currently? What characteristics shall composers focus on while making a new piece? This article may be helpful to those who make their own music and those who are engaged in the music market. Furthermore, This article also provides a computer model that can adjust parameters to obtain the optimal song type.