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Live vs Studio Performances: Exploring Opeth’s Discography Using YouTube Comments
Do people like live or studio recordings more? Perform exploration, sentiment analysis, and classification

Three of my favorite things are programming, machine learning, and music. So, here’s another project I conjured up the other day that uses these things. The question I wanted to answer was simple:
“Do people enjoy the live or studio recordings of an artist more?”
So naturally, I turned to machine learning to try to answer this. In this article, I’ll use NLP and data science techniques to try to determine whether people enjoy the live or studio recordings of all songs of one of my favorite bands: Opeth.
In addition to this, I’ll provide visualizations to show a variety of metrics to show how sentiments change over the course of Opeth’s 27-year track record. Opeth is a pretty neat band in terms of their progression because their sound has changed since their first album ‘Orchid’ released in 1995 and their most recent album ‘In Cauda Venenum’ released in 2019. The changes in their sound over the last few albums have sparked debate amongst fans.
An additional goal of this project is to also generate a classifier that can differentiate between a live performance and a studio performance through YouTube data. I want to build a little application where you can provide a URL to a YouTube video and then the algorithm would tell the user whether the video corresponds to a studio or a live performance. I made an app using Streamlit with the deployed model that you can play with here.
Having the capability to do this could be helpful in a situation where a friend sends you a YouTube link for a song that they want you to listen to, but you really don’t like live versions of songs. In addition to this, for some bizarre reason, the URL preview to the link is not working and you really don’t want to run the risk of clicking a link and then subjecting yourself to the disappointment that a live performance would bring you.
Look, I’m going to be completely honest. I’m just doing this project because I think it’d be pretty cool to do. If you can think of a better, more…