CDJ-Billboard-Sentiments

All the files used in the Billboard Sentiments project for Cornell Data Journal. Article link: http://billboardsentiments.com/.

Built with

• Adobe Premiere Pro:
  • Used for editing certain animated visuals
• R Studio:
  • Generating visuals through R
• Excel:
  • Organizing data used in Python and R
• Jupyter Notebooks
  • Generating visuals through Python
  • Scraping the data through NLTK and LyricsGenius
• Visual Studio Code:
  • Writing HTML, CSS, and JS code to build the site
  • Generating visuals through Python

Resources used

• Wikipedia - Used to obtain yearly Billboard 100 Data
• LyricsGenius - Matching lyrics to song data through the GeniusAPI in Python
• NLTK - Obtaining sentiment scores for qualifying songs
• Kaggle - Merging songs to features obtained through SpotifyAPI
• Lottie - Loose inspiration for certain visuals

Contributors

Project lead:

• Nikhil Chinchalkar

Team members:

• Harriet Kumah
• Ivan Xie
• Rithya Sriram
• Stuti Gupta
• Tanvi Bhave
• Tony Oh

Acknowledgments

• Cornell Data Journal for the platform