Album Sentiment & Spotify Audio Features

Measuring the emotional qualities of an album using Spotify Track Audio Features with lyrical sentiment analysis via RoBERTa. The data is gathered, processed, and merged in a .py file and then used in a Jupyter Notebook to build a summary presentation.

Technologies Used

You can install any of the required libraries using pip like in the example below.

pip install pandas

• Plotly
• Pandas
• PyTorch
• Requests
• NumPy
• LyricsGenius
• Transformers
• Jupyter

You will also need access to the Spotify and Genius APIs.

Any suitable model can be used from 🤗 Hugging Face with some modifications but j-hartmann/emotion-english-distilroberta-base is used in this case.

Power, Corruption, & Lies by New Order

The album used is Power, Corruption & Lies by New Order. The original track list is used with these eight tracks:

1. Age of Consent
2. We All Stand
3. The Village
4. 5 8 6
5. Your Silent Face
6. Ultraviolence
7. Ecstasy
8. Leave Me Alone