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American Journal of Emerging Scholars (AMJES) is an academic, multidisciplinary, and faculty-reviewed Journal devoted to the rapid dissemination of current research published by high school, undergraduate, and graduate students.

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Article In Press

Open Access

Nov 7 2023

Song popularity is an influential subject within the modern music streaming industry. It determines which artists can
gain media attraction, gather loyal fans, and ultimately succeed. Analyzing song popularity with ML algorithms
contributes to demystifying success within the music industry. Two datasets, datasets 1 and 2, collected from the
Spotify Web API contain audio information on respectively 2000 songs and 240,057 songs. Ordinary Least Squares
Linear Regression (OLS LR) and Neural Network (NN) algorithms were used on each dataset to predict song
popularity. The most complex NN structure used in this study contains three hidden layers, achieving the best
regression performances on both datasets; however, it was superior to other models by a small margin.

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AMJES selects the highest quality of high school student, undergraduate, and graduate research work in all areas of science, including the behavioral and social sciences, technology, engineering, and math. AMJES publishes both original research and literature review articles. 

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