🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.
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Updated
Apr 26, 2024 - JavaScript
🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.
JSON files for every Billboard Hot 100 chart in history, updated daily.
An unofficial Python API that allows users to create a corpus of lyrical text from their favorite artists and billboard charts
Python application that scrapes Billboard's Hot 100 Chart using BeautifulSoup
Simple API to access Billboard Charts
Swift API for downloading Billboard charts
Audio Motivation for Data Scientists and ML Engineers
Provide an overview of Billboard Chart for any week
Music application that shows the top 5 songs in history for a given date. Provides a link to a music video as well as a biography page on the #1 artist.
A closer look at dynamic compression over the past 50 years
Scrape and analyze data on this week's Billboard Hot 100 songs right from the command line
This research study employs a mixed-methods approach to analyze the global growth of Nigerian music, utilizing data from Spotify, UK Charts, and the Billboard Hot 100. Various data analysis techniques like descriptive statistics and sentiment analysis are applied, alongside predictive models like 1D CNN and Decision Trees.
Automated Billboard Hot 100 tracker — Python data pipeline, custom ranking model, and Power BI dashboard with dynamic date-based filtering. Published weekly to 35K+ subscribers.
Find the weekly top music chart and look for their lyrics. An upgrade version of The Lyrics.
Based on Billboard, This will show K-Pop 100 Ranking.
Data Science Assignment and Project
Data Science undergrad capstone project -- Does the news sway public music taste?
"Five decades of Billboard chart data reveal a winner-take-all shift from radio-DJ to algorithmic discovery. Python/SQLite pipeline + 3-page Power BI dashboard."
Choose a day in time and automatically create a Spotify playlist of the top songs playing in the world in that moment.
This is my first personal project on Github
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