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A library for analysing (temporal) word embeddings.
The project setup is documented in project_setup.md. Feel free to remove this document (and/or the link to this document) if you don't need it.
See the design document for more information on the design of this project.
To install tempo_embeddings from GitHub repository, do:
git clone git@github.com:Semantics-of-Sustainability/tempo-embeddings.git
cd tempo-embeddings
python3 -m pip install .The term_frequency notebook provides a sample case for investigate a set of text corpora.
(outdated; you can now run the notebook on your local machine, with the processing being done by a remote database server)
SURF Research Cloud offers a ready-to-use environment for running tools without the need to install Python and other required libraries.
Here you can apply for access.
If your Research Cloud account is set up for the Semantics of Sustainability project, you can use the tempo-embeddings tool by following these steps:
- Log in to Research cloud environment.
- Create a new workspace using the "semantics-of-sustainability" catalog item.
- Log in to the workspace you created in the previous step.
- Open a new terminal and run:
/etc/miniconda/bin/conda init- Close the terminal, open a new one, and run:
cd /opt/tempo-embeddings/
conda activate tempo-embeddings- Start to play with the notebooks using:
jupyter lab notebooks/[1_compute_embeddings_nl.ipynb]Include a link to your project's full documentation here.
If you want to contribute to the development of tempo_embeddings, have a look at the contribution guidelines.
This package was created with Cookiecutter and the NLeSC/python-template.