dinaatrinomialsearch
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 (2.8%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: mackedmo
- Language: Jupyter Notebook
- Default Branch: main
- Size: 34.2 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 5 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
Citation
README.md
DINAATrinomialSearch
To be paired with the instructions here: https://docs.google.com/document/d/e/2PACX-1vRj5U9UK3lJ-N0yohPEhm9KIb4NmjyIMwEOp53ku4RS-mLB3vP2CJfKnWpUs7tpQovkmw02VZcNdtVg/pub
Must have Jupyter Lab and Python to use.
These notebooks are used to pull Smithsonian Trinomials from articles stored within Constellate's database. One through searching and extracting unigrams and the other by searching and extracting Trinomials. Further details can be found in the commented sections of the Notebooks.
Owner
- Name: Mackenzie Edmonds
- Login: mackedmo
- Kind: user
- Repositories: 1
- Profile: https://github.com/mackedmo
Undergrad Student
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Smithsonian Trinomial Search
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Mackenzie
family-names: Edmonds
email: mackenziegedmonds@gmail.com
affiliation: Indiana University South Bend
url: >-
https://opencontext.org/projects/0cea2f4a-84cb-4083-8c66-5191628abe67
abstract: >-
Use to scrape Smithsonian Trinomials from datasets built
using the Constellate dataset builder.
keywords:
- text mining
- data extraction
- regular expressions
license: CC-BY-4.0
date-released: '2022-08-01'