https://github.com/creisle/acronym_parser

Basic regex-based acronym parser for pulling acronym definitions out of scientific articles
https://github.com/creisle/acronym_parser

Last synced: 7 days ago
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Basic regex-based acronym parser for pulling acronym definitions out of scientific articles

• Host: GitHub
• URL: https://github.com/creisle/acronym_parser
• Owner: creisle
• License: mit
• Created: 2024-09-10T19:07:19.000Z (2 months ago)
• Default Branch: master
• Last Pushed: 2024-09-12T17:04:49.000Z (2 months ago)
• Last Synced: 2024-09-13T06:13:13.091Z (2 months ago)
• Language: Python
• Size: 27.3 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Acronym Parser

A simple regex-based acronym parser to pull of acronym definitions from scientific articles which follow the pattern of

```text

some words definining an acronym (SWDA)

```

## Getting Started

Currently this pacakge must be installed from this repo but in the future I may publish it to pip. I use poetry to install and manage dependencies. Note this requires python3.11 or higher

```bash

git clone ....acronym_parser

cd arconym_parser

poetry install

```

After install you can use the package to parse acronym definitions from bioc documents. In the following example we are downloading a bioc document from pubmed and then applying the acronym parser

```python

import bioc

import requests

from acronym_parser import mark_acronyms

url = 'https://www.ncbi.nlm.nih.gov/research/bionlp/RESTful/pmcoa.cgi/BioC_xml/PMC8345926/unicode'

resp = requests.get(url)

resp.raise_for_status()

doc = bioc.loads(resp.text).documents[0]

acronyms = grab_acronyms(doc)

```