Analyzing Taylor Swift's Lyrics

Project Description: In this project, I analyze the lyrics of Taylor Swift's music in R. For more background information, check out my blog to see a summary write-up of the project!

Main Goals:

• Extract Taylor Swift lyrics data using the genius package from CRAN
• Calculate word counts and TF-IDF
• Perform sentiment analysis on the lyrics
• Visualize results using word clouds and other visualization tools

Project Overview

Title	Description	.Rmd File
Data Retrieval	I cleaned the dataset Taylor Swift's lyrics from the user shaynak and prepared it for analysis.	View
Word Count Analysis	In this section, I focused on the analyzing the word frequency and lexical diversity of Taylor Swift's music.	View
Sentiment Analysis	In this section, I focused on analyzing the sentiment of Taylor Swift's lyrics based on 3 different lexicons: Bing, AFINN, and NRC.	View
Data Retrieval (Old)	I used the genius package to retrieve Taylor Swift's lyrics and prepared it for analysis. Note: The genius package was returning incomplete lyrics and is unsupported as of now.	View

Links

Here are the resources I used to complete this project.

1. https://github.com/JosiahParry/genius
2. https://github.com/shaynak/taylor-swift-lyrics
3. https://www.datacamp.com/community/tutorials/R-nlp-machine-learning
4. https://www.tidytextmining.com/sentiment.html
5. https://www.r-graph-gallery.com/38-rcolorbrewers-palettes.html