A Tool for Predicting Music Success
HAMR 2020 Project - https://www.ismir2020.net/hamr/
A python based tool for predicting if a song will appears at Spotify's Top 50 Global ranking based on user inputs.
To run this tool you'll need Python 3. Download Python at https://www.python.org/downloads/.
Also, if you do not have some of the python packages needed a pip command will be executed, so I strongly recommend to have pip installed. Installation guide at https://pip.pypa.io/en/stable/installing/.
How to use
First, clone this repository with the
git clone command.
To run the tool basically type
If some of the required python packages are missing, it will first install these packages and then run the tool.
When running the tool you can type three commands as follows:
|help||Prints helpful information for the user|
|predict||Predicts if a song will become popular based on user inputs|
|exit||Closes the program|
|Other||If anything else is typed, requests a valid option|
My master's thesis where I fully explain the model used in the prediction tool (the text is in Portuguese): https://tede.ufam.edu.br/bitstream/tede/7572/6/Disserta%C3%A7%C3%A3o_CarlosAra%C3%BAjo_PPGI.pdf
My ISMIR 2020 LBD Poster were I also present the model methodology: https://program.ismir2020.net/lbd_433.html
HAMR Video Report: https://www.youtube.com/watch?v=nQb-fRebUhk
HAMR slides: https://docs.google.com/presentation/d/1u4AJjzmqWdrmm9-l-d4AN4uQFHU3iyYUrKbT4PmaNPI/edit?usp=sharing
Spotify API documentation: https://developer.spotify.com/documentation/