MP3 Song Sentiment Analysis This repository contains multiple Jupyter Notebook documents dedicated to the download and analysis of songs in MP3 format. The main objective of the project is to analyze the musical structure and sentiment of songs using various techniques and tools, including the Spotify API and the librosa library in Python.

Contents The repository includes the following items:

Analysis Notebooks: Various notebooks exploring different aspects of song analysis, from extracting musical features using the Spotify API and librosa to sentiment and polarity analysis of lyrics.

Documentation: In addition to the analysis notebooks, additional documentation is provided on the analysis process and the methods used.

Objective The main goal of this project is to analyze the emotional content of songs through their musical and lyrical characteristics. Different methods of sentiment and polarity analysis are explored to better understand the message and emotional impact of music on listeners.

Future Updates This repository will be kept up to date with autonomous learning of song lyrics and structures. New techniques and tools will be explored as the project progresses, aiming to improve the accuracy and depth of sentiment analysis.

Contributions Contributions are welcome! Feel free to submit pull requests with improvements or new ideas for song analysis.

Contact If you have any questions, suggestions, or comments, feel free to reach out through the repository's issues or by emailing [email protected].

Thank you for your interest in our project! We hope this MP3 song sentiment analysis proves to be useful for you.