The Wiki Music dataset: A tool for computational analysis of popular music
This provides a tool for computational music analysis, but it is incremental as it applies existing methods to a new dataset.
The authors tackled the problem of analyzing trends in popular music history and predicting future genres by creating a hand-crafted dataset from Wikipedia, annotated by genre and time, and found trends using statistical and machine learning techniques with time series forecasting.
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.