Core functionality of COAST
COAST_CORE is a tool designed for aiding the credibility assessment of online articles. It is a collection of modules that are useful for assessing various aspects of credibility.
- Free software: MIT license
- Documentation: https://coast-core.readthedocs.io.
COAST_CORE is made up of several modules for:
The tool is built in Python 3 and tested in versions 3.5 and 3.6.
There are two methods of named entity detection included as part of COAST_CORE. For running the Stanford named entity detection, you will need Java installed.
To install COAST_CORE, run this command in your terminal:
$ pip install coast_core
This is the preferred method to install COAST_CORE, as it will always install the most recent stable release.
To install from source, visit our documentation.
|April 2016||Research on credibility begins, some initial scripts are written as part of various studies|
|First half of 2017||Adrien Aucher joins UC as an intern and works with Ashley Williams on the first version of this tool. It is only used internally at this point.|
|April 2018||Yann Le Norment joins UC as an intern and works on a first public release.|
|May 2018||First public release!|
|August 2018||Version 0.1.2 released; fixing bugs and making things stable.|
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|coast_core-1.0.0-py2.py3-none-any.whl (21.7 kB) Copy SHA256 hash SHA256||Wheel||py2.py3|
|coast_core-1.0.0.tar.gz (32.5 kB) Copy SHA256 hash SHA256||Source||None|