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.
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
In this solution we used spaCy library of python.
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.
I tested this solution in the following versions. Be mindful of changes when working with other versions.
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.
Python 25167 Version:3.4.4
Python 25167 Version:3.4.4 License: Permissive (MIT)
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