Metadata-Version: 1.1
Name: compsyn
Version: 0.2.2
Summary: python package to explore the color of language
Home-page: https://github.com/comp-syn/comp-syn
Author: Bhargav Srinivasa Desikan
Author-email: bhargavvader@gmail.com
License: MIT
Description: comp-syn
        ~~~~~~~~
        
        comp-syn is a python package which provides a novel methodology to explore relationships between abstract concepts and color. We provide functionalities to create a dataset for word - image associations through Google Cloud and WordNet, as and demonstrate a variety of image and word related analyses. We introduce constructs such as *Colorgrams* as a tool for analysis, as well as the ability to create *color representational vectors* for images, and words as aggregations of images. Our work demonstrates a strong relationship between abstract semantic domains and colors, and supports claims for collective cognition and embodied cognition. The package allows you to explore these relationships yourself!
        
        The theoretical frameword is described in:
        
        Douglas Guilbeault , Ethan Nadler, Mark Chu, Ruggiero Lo Sardo, Aabir Abubaker Kar, and Bhargav Srinivasa Desikan. "Color Associations in Abstract Semantic Domains." *Forthcoming in Cognition* (2020).
        
        The work arose through a collaboration between the contributors at the Santa Fe Institute's Complex System Summer School 2019. 
        
        
        Documentation and Examples
        ~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        The
        `notebooks <https://github.com/comp-syn/comp-syn/tree/master/notebooks>`__
        directory showcases the usage of compsyn, with examples and basic usage.
        
        We currently provide functionality to download and organise image data to be loaded as vector objects, as well as a preliminary analysis using them.
        
        
        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. It can be downloaded here (`link <https://drive.google.com/file/d/1wspjIBzzvO-ZQbiQs3jgN4UETMxTVD2c/view>`_). We provide sample images downloaded from Google Images to test the functionality.
        
        
Keywords: Image Analysis,Computational Synaesthesia,Color Science,Computational Social ScienceCognitive Science
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
