https://github.com/australian-text-analytics-platform/farms-to-freeways
demonstration of LDaCA tech using Farms to Freeways dataset and a notebook
https://github.com/australian-text-analytics-platform/farms-to-freeways
Science Score: 13.0%
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○.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (6.7%) to scientific vocabulary
Repository
demonstration of LDaCA tech using Farms to Freeways dataset and a notebook
Basic Info
Statistics
- Stars: 0
- Watchers: 3
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Farms to Freeways demo
The example notebook shows how to load data from LDaCA API and run some analysis.
To use this notebook,
1) Sign into the ATAP data portal and get an API key from your User Info page. You may need to authenticate and request access via REMS first (TODO more info about this).
2) Open the notebook in the ATAP BinderHub by clicking the launch button below.
3) In the JupyterHub interface, edit vars.env file and add the API_KEY. An example is shown below of the required format.
env
API_KEY=153b2db8-4536-4016-8bd6-311e8817e764
4) After adding the key, restart the notebook kernel to make the env variable available for the notebook.
Owner
- Name: Australian-Text-Analytics-Platform
- Login: Australian-Text-Analytics-Platform
- Kind: organization
- Website: https://atap.edu.au
- Repositories: 9
- Profile: https://github.com/Australian-Text-Analytics-Platform
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Dependencies
- actions/checkout v2 composite
- actions/setup-python v2 composite
- ad-m/github-push-action master composite
- en_core_web_sm *
- matplotlib ==3.4.3
- pandas ==1.3.4
- python-dotenv >=0.19.2
- requests ==2.26
- rocrate *
- spacy >=3.0.0,<4.0.0
- textacy ==0.11.0