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EPISODE · Sep 23, 2020 · 1 MIN

Lemmatization in Natural Language Processing

from Code Logic · host Sarvesh Bhatnagar

In this podcast episode we will be talking about Lemmatization in natural language processing. It is a text normalization step which we need to perform to normalize words. Lemmatization improves on shortcomings of Stemming in Natural Language Processing and In this podcast episode we talk about that shortcoming and also how we can use lemmatization using nltk library. Learn Python: www.stacklearn.org Python package to save snippets : PyPi - codesnip

What this episode covers

In this podcast episode we will be talking about Lemmatization in natural language processing. It is a text normalization step which we need to perform to normalize words. Lemmatization improves on shortcomings of Stemming in Natural Language Processing and In this podcast episode we talk about that shortcoming and also how we can use lemmatization using nltk library. Learn Python: www.stacklearn.org Python package to save snippets : PyPi - codesnip

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Lemmatization in Natural Language Processing

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How long is this episode of Code Logic?

This episode is 1 minute long.

When was this Code Logic episode published?

This episode was published on September 23, 2020.

What is this episode about?

In this podcast episode we will be talking about Lemmatization in natural language processing. It is a text normalization step which we need to perform to normalize words. Lemmatization improves on shortcomings of Stemming in Natural Language...

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