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An experimental machine learning model to quantify knowledge density

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KnowledgeQuantify

An experimental machine learning model to quantify the 'knowledge density' of a given text, that is how much raw knowledge/information related to a topic is contained in a given text.

Please note that the dataset used to train this model is not included in this repository.

The model can be downloaded in the "Releases" page.

Installation

git clone https://github.com/just-a-mango/knowledge-quantify
pip install tensorflow scikit-learn numpy

Contributing

Contributions are more than welcome, as this needs to be a community project. Please fork the repository and submit a pull request with your proposed changes.

License

This project is fully open-source and licensed under the MIT License. See the LICENSE file for details.

🪐 Just_a_Mango