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Analyze Taylor Swift Lyrics with Python Case Study

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

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3,281 learners enrolled

  • Skill level

    Beginner

  • Time to complete

    Approx. 1 hour

  • Certificate of completion

    Included with paid plans

  • Prerequisites

    None

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
Meet the full team
Michelle McSweeney
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. She has published with Bloomsbury and Routledge, and has a book forthcoming with Oxford University Press. Michelle was a postdoctoral researcher in the Center for Spatial Research at Columbia University, and taught research methods, data science, and mathematics at Pratt Institute, The New School, CUNY, and Lansing Community College. She was an NLP Data Scientist at Converseon.ai, and a freelance data scientist.
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.
Meet the full team

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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.