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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.

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.

Skills you’ll gain

  • Sentiment analysis
  • Analyze word use over time
  • Natural Language Processing and machine learning on a real corpus

Notes on Prerequisites

We recommend that you have some familiarity with Python before completing this Case Study.

This course is 31 mins long.

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