1. Learn
    2. /
  2. Courses
    3. /
  3. Natural Language Processing with spaCy

Exercise

Similar words in a vocabulary

Finding semantically similar terms has various applications in information retrieval. In this exercise, you will practice finding the most semantically similar term to the word computer from the en_core_web_md model's vocabulary.

The computer word vector is already extracted and stored as word_vector. The en_core_web_md model is already loaded as nlp, and NumPy package is loaded as np.

You can use the .most_similar() function of the nlp.vocab.vectors object to find the most semantically similar terms. Using [0][0] to index the output of this function will return the word IDs of the semantically similar terms. nlp.vocab.strings[<a given word>] can be used to find the word ID of a given word and it can similarly return the word associated with a given word ID.

Instructions

100 XP
  • Find the most semantically similar term from the en_core_web_md vocabulary.
  • Find the list of similar words given the word IDs of the similar terms.