https://github.com/omarsar/nlp_functions
Some of the most used Natural Language Processing (NLP) functions for information retrieval
https://github.com/omarsar/nlp_functions
Last synced: 7 months ago
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Some of the most used Natural Language Processing (NLP) functions for information retrieval
- Host: GitHub
- URL: https://github.com/omarsar/nlp_functions
- Owner: omarsar
- Created: 2016-01-30T07:58:29.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2016-01-30T08:24:27.000Z (over 9 years ago)
- Last Synced: 2025-01-23T06:14:55.056Z (9 months ago)
- Language: Python
- Size: 1.95 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Concepts-Crawler
A set of functions that are useful when dealing with Natural Language Processing (NLP) Projects. It also includes some rules that are used to extract some concepts from pieces of text.
This crawler could be used in many ways. I used it for my keyword extraction research.
For instance, if I wanted to extract the concept or keyword or even subject / object of the text below:
"I really like the cover of GQ Magazine"
The extractor is able to extract "GQ Magazine" as the concept in this piece of text.
In the code you will find a bunch of rules to extract concepts based on the following research publication:
[Mining various semantic relationships from unstructured user-generated web data](http://www.sciencedirect.com/science/article/pii/S1570826814001073)