This project is about building a music recommendation system for users who want to listen to happy songs. Such a system can not only be used to brighten up one's mood on a rainy weekend; especially in hospitals, other medical clinics, or public locations such as restaurants, the MusicMood classifier could be used to spread positive mood among people.
- Try the online app
- View the data collection IPython notebook
- View the model training IPython notebook
- About my experiences with this project
- A 10,000-song subset was downloaded from the Million Song Dataset.
- Lyrics were automatically downloaded from LyricWikia and all songs for which lyrics have not been available were removed from the dataset.
- An English language filter was applied to detect and remove all non-English songs.
- The remaining songs were randomly subsampled into a 1000-song training dataset and 200-song validation dataset.