Python package to explore the color of language
Project description
compsyn
compsyn is a package which provides a novel methodlogy to explore relationships between words and abstract concepts through color. The work rose through a collaboration between the contributors at the Santa Fe Institute’s Complex System Summer School 2019.
beta-release
Our beta release (0.1.0) includes only very basic functionality and the finished code to reproduce our entire analysis is on the horizon.
Documentation and Examples
The notebooks directory showcases the usage of compsyn, with examples and basic usage.
Installation
Run pip install compsyn to download and install from PyPI.
Run python setup.py install for default installation.
Run pip install . to install from source.
Dependencies
Python 2.7+, 3.4+
numpy, scipy, scikit-learn, matplotlib, PIL
Notes
To use the package one would need to download the JzAzBz array to convert the images to the appropriate vector form.
Contributors
This is the work of:
Aabir Abubaker Kar
Bhargav Srinivasa Desikan
Donald Ruggiero Lo Sardo
Douglas Guilbeault
Ethan Nadler
Mark Chu
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