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Beyond the lyrics: the intersection of music and data visualization

Using Spotify API and Tableau to Perform Sentiment Analysis on Lyrics

Sejal Dua
Towards Data Science
12 min readNov 12, 2019

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One of the things I love most about data science is stumbling upon some of the coolest and most powerful tools which instantly enable me to do cool and powerful things. I recently created a Spotify developer account, learned how to scrape lyrics, learned about sentiment analysis, word clouds, and other NLP concepts, and taught myself how to use an awesome interactive data visualization software called Tableau. And, most importantly of all, I have a long list of further projects I want to tackle next.

I would be remiss not to give credit to the two Medium articles that helped me stumble in a productive, ever forward-moving direction. The first one is called “Extracting Spotify data on your favourite artist via Python” by Rare Loot. The second one is called “Word Clouds in Tableau: Quick & Easy” by one of my favorite Towards Data Science authors, Parul Pandey.

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Towards Data Science
Towards Data Science

Published in Towards Data Science

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Sejal Dua
Sejal Dua

Written by Sejal Dua

Data Scientist @ NBA | Formerly @ Nike | Writing about Python, ML, NLP, Data Visualization, Music, and Sports | sejaldua.com

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