Have you written a tutorial on spaCy, or did you find one that should be featured here? Let us know!
These tutorials help you get started. They describe how to set up your environment and start using spaCy.
These tutorials take a closer look at particular features of spaCy, or particular types of NLP problems. Most come with more explanatory text, to help introduce you to new concepts.
Modern NLP in Python – What you can learn about food by analyzing a million Yelp reviewsby Patrick Harrison (S&P Global)
- jupyter gensim
Using the German modelby Wolfgang Seeker
Sense2vec with spaCy and Gensimby Matthew Honnibal
- big data gensim
An intent classifier with spaCyby Musio
- bots keras
Advanced text analysis with spaCy and Scikit-Learnby Jonathan Reeve
- jupyter scikit-learn
Programs and scripts
These tutorials give you all the code and nothing but the code — they're Python scripts you can modify and run.
Training a new entity typeby Matthew Honnibal
- ner training
Multi-word matchesby Matthew Honnibal
- matcher out of date