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How to Turn spaCy doc into Nested List of Tokens

by vigneshchennai74 Updated: Feb 1, 2023

The spaCy library provides the Doc object to represent a document, which can be tokenized into individual words or phrases (tokens) using the “doc.sents” and doc[i] attributes. You can convert a Doc object into a nested list of tokens by iterating through the sentences in the document, and then iterating through the tokens in each sentence. 

  • spaCy: spaCy is a library for advanced natural language processing in Python. It is designed specifically for production use, and it is fast and efficient. spaCy is widely used for natural language processing tasks such as named entity recognition, part-of-speech tagging, text classification, and others. 
  • Doc.sents: Doc.sents allows you to work with individual sentences easily and efficiently in a text, rather than having to manually split the text into sentences yourself. This can be useful in a variety of natural languages processing tasks, such as sentiment analysis or text summarization, where it's important to be able to work with individual sentences. 


To learn more about the topic, you may have a look at the code below

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

Code

In this solution we used spaCy library of python.

  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Import Sapcy library
  3. Run the file to turn spacy doc into nested List of tokens.


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 "How to turn spacy doc into nested list of tokens"in kandi. You can try any such use case.

Environment Tested

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 turn the spacy doc into nested list in tokens 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 turn the doc to nestled list in the text in python.

Dependent Library

spaCyby explosion

Python star image 25167 Version:3.4.4

License: Permissive (MIT)

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

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spaCyby explosion

Python star image 25167 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

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