Summary
We have now reached the end of an exhaustive chapter of spaCy core operations and the basic features of spaCy. This chapter gave you a comprehensive picture of spaCy library classes and methods. We made a deep dive into language processing pipelining 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 a real-world application of a spaCy feature. We explored spaCy container classes in detail and finalized the chapter with precise and useful spaCy features. At this point, you have a good grasp of spaCy language pipelining and you are confident about accomplishing bigger tasks.
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, named entities, and entity linking.
