Analyze Taylor Swift Lyrics with Python Case Study

Use sentiment analysis and natural language processing to analyze Taylor Swift’s lyrics.

1,304 learners enrolled
  • Skill level

  • Time to complete

    Approx. 1 hours
  • Certificate of completion

    Included with paid plans
  • Prerequisites


About this course

If you’re looking to analyze large amounts of text and gain deeper insight into music, try this case study. You will put your natural language processing and machine learning skills to use answering interesting questions about Taylor Swift’s lyrics. We will provide you with the context, data, and instructions that you need to analyze themes and sentiments in Taylor Swift’s albums. You’ll explore how she thinks about time, especially Midnight, as well as day and night. You’ll create visualizations and see her music in a whole new way.


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Meet the creator of the course
Michelle McSweeney
Data Science Domain Manager at Codecademy and Adjunct Assistant Professor at the CUNY Graduate Center
Michelle McSweeney is the Data Science Domain Manager at Codecademy and an Adjunct Assistant Professor at the CUNY Graduate Center. Michelle has a Ph.D in Linguistics, with a certificate in Interactive Technology and Pedagogy from the CUNY Graduate Center, and a Bachelor's in Chemistry from Michigan State University.

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Frequently asked questions about Analyze Taylor Swift Lyrics with Python Case Study

  • Every time you visit a website or open an application, you contribute to the tons of data that are created every day. Data analysis means combing through this data to find patterns and trends that can help inform decision-making and product development.