Analyze Taylor Swift Lyrics with Python Case Study
Use sentiment analysis and natural language processing to analyze Taylor Swift’s lyrics.
Skill level
BeginnerTime to complete
Approx. 1 hourCertificate of completion
Included with paid plansPrerequisites
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.
Syllabus
Analyze Taylor Swift Lyrics
Use sentiment analysis and NLP to better understand Taylor Swift’s discography.
Hands-on learning
Don’t just watch or read about someone else coding — write your own code live in our online, interactive platform. You’ll even get AI-driven recommendations on what you need to review to help keep you on track.

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StartFrequently 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.