Natural Language Playlist
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About
Abelardo Riojas, a Data Science graduate student and music enthusiast, created Natural Language Playlist to explore the intricate relationship between language, music, and culture. The tool leverages a curated dataset of textual song metadata to understand each song's musical and cultural traits. It's designed for music lovers who enjoy discovering new music, allowing them to generate playlists by describing musical and cultural features, lyrical meaning, sonics, and vibes. The model excels at understanding nuanced descriptions, encouraging users to use clear, positive language for optimal results. This project is a blend of the creator's past experiences and his vision for a perfect playlist tool.
Platform
Features
• tool for discovering new music
• encourages clear, positive language for better understanding
• allows description of musical features (e.g., danceable, positive mood, fast tempo, high energy)
• supports obscure genres and hyper-specific lyrical themes
• understands musical and cultural features like genre, lyrical meaning, sonics, and vibes
• algorithm improves with spotify login
• generates playlists on your spotify account
• ai mixtapes generated with language-powered search
Pricing Plans
Free
Free Plan• AI mixtapes generated with language-powered search
• Login with Spotify option
• Continue as Guest option
• Generates playlists on your Spotify account (if logged in)
• Improves algorithm (if logged in)
Job Opportunities
There are currently no job postings for this AI tool.
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