latin-preprocessing
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 (9.7%) 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
- Language: Python
- Default Branch: master
- Size: 12.7 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Readme
License
Citation
README.md
Authors
- [list of all contributors, with their institutional email and ORCID]
License
CC-BY-SA 4.0, see attached License.md
Description
This repo contains a module which puts together a set of useful functions which we (the TOME project) use for preprocessing latin texts.
Getting started
- go to terminal and clone the repository:
bash git clone https://github.com/CCS-ZCU/latin-preprocessing.git - open a python script where you want to use the module (it can be located anywhere on your machine)
- check that you use an appropriate python interpreter (virtual environment or kernel, in case of jupyter (e.g.
latin_global_kernel, if you are on CCS-Lab's jupyterhub server...) - specify relative or absolute path to the module subfolder within your local clone of the repository (
For instance:
python module_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../../latin-preprocessing'))`) - Add the directory to sys.path if it's not already there
python if module_path not in sys.path: sys.path.insert(0, module_path) Import the module
python import tomelaIf you later make changes to the tomela module and want to reload it:
importlib.reload(tomela)
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
- Push event: 2
- Create event: 1
Last Year
- Push event: 2
- Create event: 1
Dependencies
requirements.txt
pypi
- gensim *
- ipykernel *
- jupyter *
- matplotlib *
- networkx *
- nltk *
- pandas *
- scikit-learn *
- sddk *
- seaborn *
- virtualenv *