Comments (1)
Hey! Thanks a lot for showing interest in my little project lol
The main reason I chose to use string similarity over any other (and arguably more accurate) statistical measure was because I was having mixed feelings regarding the genre labels that Spotify added to the songs.
A lot of the genre labels were honestly misleading, and there were a lot of variations of the same genre (ex: indian pop, korean pop, japanese pop). I made the decision for string pattern matching mainly to generalize the genre's across the different songs thus, indian pop, korean pop, japanese pop would ultimately be grouped as a superset "pop".
This is not at all statistically reliable, since the labels themselves are not proper and have a high degree of variation. If we can possibly fetch the genre information from some other reliable source, while ensuring a much lesser degree of generalisation then that param would be much more statistically viable.
from spotify-trend-analysis.
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from spotify-trend-analysis.