FAQ: Word Embeddings - Word Embeddings Are All About Distance

Frequently Asked Questions Python FAQ
1

Community%20FAQs%20on%20Codecademy%20Exercises
Community%20FAQs%20on%20Codecademy%20Exercises1000×208 141 KB

This community-built FAQ covers the “Word Embeddings Are All About Distance” exercise from the lesson “Word Embeddings”.

Paths and Courses
This exercise can be found in the following Codecademy content:

Natural Language Processing

FAQs on the exercise Word Embeddings Are All About Distance

There are currently no frequently asked questions associated with this exercise – that’s where you come in! You can contribute to this section by offering your own questions, answers, or clarifications on this exercise. Ask or answer a question by clicking reply (reply) below.

If you’ve had an “aha” moment about the concepts, formatting, syntax, or anything else with this exercise, consider sharing those insights! Teaching others and answering their questions is one of the best ways to learn and stay sharp.

Join the Discussion. Help a fellow learner on their journey.

Ask or answer a question about this exercise by clicking reply (reply) below!
You can also find further discussion and get answers to your questions over in Language Help.

Agree with a comment or answer? Like (like) to up-vote the contribution!

Need broader help or resources? Head to Language Help and Tips and Resources. If you are wanting feedback or inspiration for a project, check out Projects.

Looking for motivation to keep learning? Join our wider discussions in Community

Learn more about how to use this guide.

Found a bug? Report it online, or post in Bug Reporting

Have a question about your account or billing? Reach out to our customer support team!

None of the above? Find out where to ask other questions here!

2

Is there a way we can get/download the pickle files “vector_list.pkl”, it would help if I can run it on my computer and play with it. I’ve done the exercise but i want to master it from beginning to end. For example, in the real-world, on my own, I want to know how to create this pickle files and use them.

1 Like
3

Not sure why this is failing?

image
image2560×1440 644 KB

import spacy
from scipy.spatial.distance import cosine
from processing import most_common_words, vector_list

# print word and vector representation at index 347
print(most_common_words[347])
print(vector_list[347])

# define find_closest_words
def find_closest_words(word_list, vector_list, word_to_check):
    return sorted(word_list,
                  key=lambda x: cosine(vector_list[word_list.index(word_to_check)], vector_list[word_list.index(x)]))[:10]

# find closest words to food



# find closest words to summer
4

Like others, there is a serious error here that is preventing me from progressing in the course.

image
image1890×912 91.5 KB