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Exercise

Doc container in spaCy

The first step of a spaCy text processing pipeline is to convert a given text string into a Doc container, which stores the processed text. In this exercise, you'll practice loading a spaCy model, creating an nlp() object, creating a Doc container and processing a text string that is available for you.

en_core_web_sm model is already downloaded.

Instructions

100 XP
  • Load en_core_web_sm and create an nlp object.
  • Create a doc container of the text string.
  • Create a list containing the text of each tokens in the doc container.