Summary
This chapter gave you a comprehensive picture of spaCy library classes and methods. We took a deep dive into language processing pipelines and learned about pipeline components. We also covered a basic yet important syntactic task: tokenization. We continued with the linguistic concept of lemmatization and you learned about a real-world application of this spaCy feature. We explored spaCy container classes in detail and finalized the chapter by looking at precise and useful spaCy features. In the next chapter, we will dive into spaCy’s full linguistic power. You’ll discover linguistic features including spaCy’s most used features: the POS tagger, dependency parser, and named entities.
