The Wiki Music dataset: A tool for computational analysis of popular music
Abstract
Is it possible use algorithms to find trends in the history of popular music? And is it possible to predict the characteristics of future music genres? In order to answer these questions, we produced a hand-crafted dataset with the intent to put together features about style, psychology, sociology and typology, annotated by music genre and indexed by time and decade. We collected a list of popular genres by decade from Wikipedia and scored music genres based on Wikipedia descriptions. Using statistical and machine learning techniques, we find trends in the musical preferences and use time series forecasting to evaluate the prediction of future music genres.
Keywords
Cite
@article{arxiv.1908.10275,
title = {The Wiki Music dataset: A tool for computational analysis of popular music},
author = {Fabio Celli},
journal= {arXiv preprint arXiv:1908.10275},
year = {2019}
}
Comments
Copyright 2019, Fabio Celli. 5 pages. Keywords: Popular Music, Computational Music analysis, Wikipedia, Natural Language Processing