FAQ: Retrieval-Based Chatbots - Entity Recognition with Word Embeddings

This community-built FAQ covers the “Entity Recognition with Word Embeddings” exercise from the lesson “Retrieval-Based Chatbots”.

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This exercise can be found in the following Codecademy content:

Build Chatbots with Python

FAQs on the exercise Entity Recognition with Word Embeddings

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I wasn’t able to pass through this exercise without going to the solution code. Step 2 calls for the word2vec model to be named both word2vec() AND word2vec_model() simultaneously.

Call word2vec() on the string "clothes" and assign the result to category .
Call word2vec_model() on the concatenated form of message_nouns and assign the result to tokens .

When you opt for the solution code, you’ll see that the model in the provided code has been renamed word2vec(). I reset the entire exercise, then used the copy-pasted solution code, and was still unable to validate Step 2.