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EPISODE · Sep 14, 2020 · 2 MIN

Tokenization in Natural Language Processing

from Code Logic · host Sarvesh Bhatnagar

In this episode we discuss about tokenization in Natural Language Processing. As discussed in previous episode, tokenisation is an important step in data cleaning and it entails dividing a large piece of text into smaller chunks. In this episode we discuss some of the basic tokenizers available from nltk.tokenize in nltk. If you liked this episode, do follow and do connect with me on twitter @sarvesh0829 follow my blog at www.stacklearn.org. If you sell something locally, do it using BagUp app available at play store, It would help a lot.

What this episode covers

In this episode we discuss about tokenization in Natural Language Processing. As discussed in previous episode, tokenisation is an important step in data cleaning and it entails dividing a large piece of text into smaller chunks. In this episode we discuss some of the basic tokenizers available from nltk.tokenize in nltk. If you liked this episode, do follow and do connect with me on twitter @sarvesh0829 follow my blog at www.stacklearn.org. If you sell something locally, do it using BagUp app available at play store, It would help a lot.

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Tokenization in Natural Language Processing

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Frequently Asked Questions

How long is this episode of Code Logic?

This episode is 2 minutes long.

When was this Code Logic episode published?

This episode was published on September 14, 2020.

What is this episode about?

In this episode we discuss about tokenization in Natural Language Processing. As discussed in previous episode, tokenisation is an important step in data cleaning and it entails dividing a large piece of text into smaller chunks. In this episode we...

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