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Natural Language Processing

Building an NLP Pipeline with spaCy for Token Classification

Kickstart your journey into token classification by setting up an efficient NLP pipeline, learning about tokenization, POS tagging, and lemmatization with spaCy.

NLTK

Python

spaCy

See path

5 lessons

25 practices

3 hours

Text Data Collection and Preparation

Course details

Exploring Natural Language Processing Foundations with the Reuters Corpus

Preview

Counting Unique Categories in Reuters Dataset

Explore 'Tea' Category in Reuters Corpus

Fetch Text and Categories for 'Coffee' in Reuters Corpus

Exploring the 'Gas' Category in Reuters Corpus

Exploring Reuters Corpus by Category

Next Course: Linguistics for Token Classification in spaCy

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