Metadata-Version: 2.1
Name: pubwords
Version: 1.0.4
Summary: 19,000 unique words from all publically available PubMed abstracts for use in NLP and spell-checking.
Home-page: https://github.com/Ferrariic/pubwords
Author: Ferrariic
Author-email: ferrariictweet@example.com
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/Ferrariic/pubwords/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# Pubword

This is a collection of 19,000 unique words scraped from publically available PubMed abstracts. 

# INFORMATION
1. This repository contains 19,000 unique words which have mostly been cleaned -- spot check as needed.
2. This repository contains words in `lower case` only, at this time. 

# HOW TO USE
1. Install
`pip install pubwords`
2. Import
`from pubwords.words import word_list`
3. Get the word list
`your_variable = word_list`


