In this solution we are going to learn how to lemmatize words using Spacy . Lemmatization is the process of grouping together the different inflected forms of a word so they can be analyzed as a single item. Lemmatization is similar to stemming but it brings context to the words. So it links words with similar meanings to one word. In this solution kit, I am sharing the code snippet and library that Lemmatize words using Spacy 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.
- Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
- Run the program to get the text to lemmatize
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 can i solve an attribute error when using SpaCy " in kandi. You can try any such use case!
Dependent Library
spaCyby explosion
๐ซ Industrial-strength Natural Language Processing (NLP) in Python
spaCyby explosion
Python 26383 Version:v3.2.6 License: Permissive (MIT)
Environment Test
I tested this solution in the following versions. Be mindful of changes when working with other versions.
- The solution is created in Python 3.7.15 Version
- The solution is tested on Spacy 3.4.3 Version
Using this solution, we are going to Lemmatize the words with help of Spacy library. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us Lemmatize the words in Python.
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