FAQ: Word Embeddings - Gensim

This community-built FAQ covers the “Gensim” exercise from the lesson “Word Embeddings”.

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This exercise can be found in the following Codecademy content:

Natural Language Processing

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The code in this module needs to be updated as there have been minor modifications to gensim and subsequent changes in syntax, for example ‘.most_similar’ is now a KeyedVector and used as :

model.wv.most_similar()
rather than

model.most_similar()

Check the official documentation here : https://radimrehurek.com/gensim/auto_examples/tutorials/run_word2vec.html#sphx-glr-auto-examples-tutorials-run-word2vec-py .

Thanks for the find. I guess after a year this still was not fixed.

I am getting however other error as well:

Traceback (most recent call last):
  File "D:\Coding\-CC-_Build_Chatbots_With_Python\four_Retrival_based_chat_bots\two_word_embeddings\six_gensim_task.py", line 5312, in <module>
    vocabulary = list(model.wv.vocab.items())
  File "D:\Coding\-CC-_Build_Chatbots_With_Python\ChatBotsEnv\lib\site-packages\gensim\models\keyedvectors.py", line 735, in vocab
    raise AttributeError(
AttributeError: The vocab attribute was removed from KeyedVector in Gensim 4.0.0.
Use KeyedVector's .key_to_index dict, .index_to_key list, and methods .get_vecattr(key, attr) and .set_vecattr(key, attr, new_val) instead.
See https://github.com/RaRe-Technologies/gensim/wiki/Migrating-from-Gensim-3.x-to-4