Songs popularity analysis using machine learning
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Размер: 0.74 МБ. Год создания 2021 Страниц: 71 Тип документа: магистерская диссертация Язык: английский

The content of the study will be the research about factors influencing the song's popularity, which makes people listen to it. To what degree could exist a set of "laws" for great songs? What are the largest contributors to a song's performance, and do old songs have any chance of predicting the amount of success of new ones?
In order to understand the reasons for music's popularity, it is important to study music's role in people’s lives and how people process the music. Music is made up of words and yet we give it more meaning than speech or poetry for its influence on our behavior. 
People mostly listen to music in a digital form which affects the quality of the recordings. With the development of technologies, this process became better what could lead to a different understanding of music popularity. People are more attracted to music while listening in life for the emotions it provided during such concerts. Once the recording process will improve and be without losing some parts it could change the industry significantly. What if we can already record songs in the digital from the begging or even leave the process of creation to Artificial Intelligence.


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