https://github.com/shearichard/py-parse-en-lang-sentences
Parse English language sentences to find the nouns and verbs
https://github.com/shearichard/py-parse-en-lang-sentences
natural-language-processing nltk nltk-python python textblob
Last synced: about 2 months ago
JSON representation
Parse English language sentences to find the nouns and verbs
- Host: GitHub
- URL: https://github.com/shearichard/py-parse-en-lang-sentences
- Owner: shearichard
- License: mit
- Created: 2021-11-08T23:19:51.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2022-03-18T06:49:07.000Z (about 4 years ago)
- Last Synced: 2025-10-30T19:08:08.350Z (8 months ago)
- Topics: natural-language-processing, nltk, nltk-python, python, textblob
- Language: Python
- Homepage:
- Size: 16.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# py-parse-en-lang-sentences
Parse English language sentences to find the nouns and verbs
# parenlang.py
_Unfortunately, the blog post cited here has been removed from medium.com and I can't find it on archive.ore. It might be worth trying archive.org again in the future as the problem may be a transitory one._
Initial work based on [this blog post](https://medium.com/analytics-vidhya/get-nouns-verbs-noun-and-verb-phrases-6a378259084).
# noungrabber.py
Is a much more focussed attempt than `parenlang.py` and outputs only nouns. The initial version is based on [this Stackoverflow answer](https://stackoverflow.com/a/58148828/364088).
# textblobtester.py
Uses textblob library to find parts of speech. Useful reference for that is https://pythonprogramming.net/part-of-speech-tagging-nltk-tutorial/. A table showing the significance of the parts of speech tabs is here : https://cs.nyu.edu/~grishman/jet/guide/PennPOS.html .