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.
git clone https://github.com/just-a-mango/knowledge-quantify
pip install tensorflow scikit-learn numpyContributions 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.
This project is fully open-source and licensed under the MIT License. See the LICENSE file for details.