Um Modelo de Predição para o Sucesso no Mercado Musical

• Carlos V.S. Araujo UFAM
• Rafael Giusti UFAM
• Marco A.P. Cristo UFAM

DOI: https://doi.org/10.5753/webmedia.2018.4559

Abstract

In this paper we present an ongoing research that aims to produce a model to predict success in the musical market. To reach this goal, it is necessary, initially, to identify infl uence factors in the market, which is the current focus of this research. In this branch, we identify that tweets have infl uence over the popularity of an album in Spotify. We also found out that Pop has more tendency to have the most popular song of a year, among other analyses. The next steps of this research are to list even more infl uence factors, generate the model using artifi cial neural networks and validate it with real-world cases.