[Solved] You wrote this code but get an error: model = Word2Vec(sentences, size=100, window=5, min_count=1, workers=4) model.train(sentences) What is the main issue? | NLP

NLP - Word Embeddings

You wrote this code but get an error:

model = Word2Vec(sentences, size=100, window=5, min_count=1, workers=4)
model.train(sentences)

What is the main issue?

AThe parameter 'size' is deprecated; use 'vector_size' instead

BYou must call model.build_vocab() before training

CThe train method requires epochs parameter

DThe sentences variable is not tokenized

Step-by-Step Solution

Solution:

Step 1: Check model initialization parameters
The parameter size is deprecated in recent Gensim versions and causes an error or warning; use vector_size instead.
Step 2: Validate other aspects
Since sentences is passed at initialization, build_vocab() is called internally. train() does not require explicit epochs, and assume sentences are tokenized.
Final Answer:
The parameter 'size' is deprecated; use 'vector_size' instead -> Option A
Quick Check:
Deprecated size causes error = B [OK]

Quick Trick: Use 'vector_size' instead of deprecated 'size' [OK]

Common Mistakes:

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