Getting started

  1. Clone your repo appex06-[github_name] to create a new project in RStudio Cloud under the STA 199 class space.

  2. Configure git

    library(usethis)
use_git_config(user.name="your name", user.email="your email")

Packages and Data

We’ll make use of the following packages.

library(tidyverse)
library(tidytext)
library(genius) # https://github.com/JosiahParry/genius
library(wordcloud)
library(reshape2)

Part 1

Choose two albums of your choice, and read in their song lyric data from Genius. Add a variable for the artist and album, and don’t forget to save these data frames for later use.

Part 2

Tidy up the lyrics by removing commonly used words. Display a table of the most commonly used words (after cleaning up the stop words). Are these words what you expect from the albums? Create a visualization of these words for each album.

Part 3

Use the bing lexicon to get the sentiments for the lyrics for each of your selected albums. You may need to interactively download this lexicon (I will demonstrate on the screen; dont forget to change eval to be TRUE in the chunk below). Create a visualization comparing positive vs. negative words for each album. What comparisons can be made?

get_sentiments("bing")

Part 4

Create a wordcloud for each album.

Submission

Stage, commit and push

  1. Stage your modified files.
  2. Commit your changes with an informative message.
  3. Push your changes to your GitHub repo.
  4. Verify your files were updated on GitHub.

References

  1. Perry, J. Package genius for scraping song lyrics using the Genius.com API. https://github.com/JosiahParry/genius