https://github.com/centre-for-humanities-computing/semantic-kernel
Tool for building and visuaulizing neural concept graphs
https://github.com/centre-for-humanities-computing/semantic-kernel
Science Score: 13.0%
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Low similarity (11.9%) to scientific vocabulary
Keywords
Repository
Tool for building and visuaulizing neural concept graphs
Basic Info
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- Stars: 1
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Topics
Metadata Files
README.md
Semantic Kernel - Visualization of Neural Concept Graphs
Semantic kernel trains neural embeddings of a plain text data set either as vanilla texts or tabular data, and generate a conceptual graph based on a query list. The graph is hierarchical such that the first level consists of the $m$ strongest associated terms with the query list (displayed in caps), and the second level consists of the $n$ strongest associated terms with the first level.
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
Prerequisites
For running in virtual environment (recommended) and assuming python3.6+ is installed.
sudo pip3 install virtualenv
virtualenv -p /usr/bin/python3.6 nuke
source nuke/bin/activate
Installing
Clone repository and install requirements
git clone https://github.com/centre-for-humanities-computing/Semantic-Kernel.git
pip install requirements.txt
To run train model and generate graph
./main.sh
Running the tests
Explain how to run the automated tests for this system
Break down into end to end tests
test that neural embeddings are trained by semantic_vect
./test.sh
And coding style tests
Explain what these tests test and why
Give an example
Deployment
Add additional notes about how to deploy this on a live system
Built With
Contributing
Versioning
Authors
Kristoffer L. Nielbo
License
This project is licensed under the MIT License - see the LICENSE.md file for details
Acknowledgments
Owner
- Name: Center for Humanities Computing Aarhus
- Login: centre-for-humanities-computing
- Kind: organization
- Email: chcaa@cas.au.dk
- Location: Aarhus, Denmark
- Website: https://chc.au.dk/
- Repositories: 130
- Profile: https://github.com/centre-for-humanities-computing
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