project_template
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.5%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: CCS-ZCU
- License: cc-by-sa-4.0
- Default Branch: master
- Size: 9.77 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 2 years ago
· Last pushed about 2 years ago
Metadata Files
Readme
License
Citation
README.md
[Repository title]
Authors
- [list of all contributors, with their institutional email and ORCID]
License
CC-BY-SA 4.0, see attached License.md
Description
[What is the purpose of this repo? Is it related to any specific dataset or publication output?]
Getting started
bash
git clone [url-of-the-git-file]
cd [name-of-the-repo]
pip install -r requirements.txt
Go to scripts and run the notebooks
How to cite
[once a release is created and published via zenodo, put its citation here]
Ackwnowledgement
[This work has been supported by ...]
Owner
- Name: CCS-Lab (Computing Culture & Society)
- Login: CCS-ZCU
- Kind: organization
- Email: kase@kfi.zcu.cz
- Location: Czech Republic
- Website: https://ccs.zcu.cz
- Repositories: 1
- Profile: https://github.com/CCS-ZCU
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
references:
- type: "software"
authors:
affiliation: ""
family-names: ""
given-names: ""
orcid: ""-
license: cc-by-nc-4.0
repository-code: ""
title: ""
version:
doi:
date-released: 2023-04-27
abstract: ""
keywords:
- ""
GitHub Events
Total
Last Year
Dependencies
requirements.txt
pypi
- gensim *
- ipykernel *
- jupyter *
- matplotlib *
- networkx *
- nltk *
- pandas *
- scikit-learn *
- sddk *
- seaborn *
- virtualenv *