kandi background
Explore Kits
Back ArrowExplore all topics

Removing Noun chunks using SpaCy

by vigneshchennai74 Updated: Jan 2, 2023

In this solution we are going to Extract the Names from noun chuncks with the help of SpaCy. Chunking builds upon these grammatical parts to identify groups of words that go together to form symbolic meaning. This can be an adjective that goes along with a noun or a group of nouns related to each other. Python has many libraries which provide the ability to work with Nouns. SpaCy is a comprehensive and popular Python library. In this solution kit, I am sharing the code snippet and library that I use to collect the nouns in Python which can be executed directly in the IDE.


Preview of the output that you will get on running this code from your IDE

Code

In this solution we have used Spacy library of python.

PythonLines of Code : 14License : CC BY-SA 4.0

import spacy
# loading the model
nlp = spacy.load('en_core_web_lg')
doc = nlp(u'"John Smith is lookin for Apple ipod"')
# creating the filter list for tokens that are identified as person
fil = [i for i in doc.ents if i.label_.lower() in ["person"]]
# looping through noun chunks
for chunk in doc.noun_chunks:
    # filtering the name of the person
    if chunk not in fil:
        print(chunk.text)

Apple ipod
  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Enter the Text
  3. Run the code that collect the names from noun chunks


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for "Remove Name from noun chuncks using SpaCy" in kandi. You can try any such use case!

Dependent Library

spaCyby explosion

Python star image 25086 Version:3.4.4

License: Permissive (MIT)

💫 Industrial-strength Natural Language Processing (NLP) in Python

Support
Quality
Security
License
Reuse

spaCyby explosion

Python star image 25086 Version:3.4.4 License: Permissive (MIT)

💫 Industrial-strength Natural Language Processing (NLP) in Python
Support
Quality
Security
License
Reuse

If you do not have SpaCy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the Spacy page in kandi.

You can search for any dependent library on kandi like SpaCy

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions.


  1. The solution is created in Python 3.7.15 Version
  2. The solution is tested on Spacy 3.4.3 Version


Using this solution, we can Extract names from noun chuncks with the help of function in spacy . This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us extract the Nouns python.

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page

Open Weaver – Develop Applications Faster with Open Source

kandi

Develop Custom Functions

Develop Projects with Kits

Explore Popular Libraries

Product Tour

FAQ

Community and Support

Live Bootcamps

Self Paced Certifications

Hackathons and Events

FutureSkills Prime

kandi Support

Company

About us

Join the Team

Contact Us

Follow

  • © 2023 Open Weaver Inc.