Analyze Taylor Swift Lyrics with Python Case Study
Offered By: Codecademy
Course Description
Overview
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.
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.
- Article: Analyze Taylor Swift Lyrics with Python
- Project: Analyze Taylor Swift Lyrics with Python
- Informational: Analyze Taylor Swift Lyrics with Python
Taught by
Nitya Mandyam
Related Courses
DCO042 - Python For InformaticsUniversity of Michigan via Independent Corpus Linguistics: Method, Analysis, Interpretation
Lancaster University via FutureLearn 日本中世の自由と平等 (ga001)
University of Tokyo via gacco "A Study in Scarlet" by Doyle: BerkeleyX Book Club
University of California, Berkeley via edX "A Room with a View" by Forster: BerkeleyX Book Club
University of California, Berkeley via edX