[Solved] What is wrong with this code snippet for training Word2Vec? from gensim.... What is wrong with this code snippet for training Word2Vec? | NLP

NLP - Word Embeddings

What is wrong with this code snippet for training Word2Vec?

from gensim.models import Word2Vec
sentences = [['cat', 'dog'], ['mouse', 'rat']]
model = Word2Vec(sentences, size=50, window=3, min_count=1)
model.train(sentences, total_examples=2, epochs=10)

Amin_count must be greater than 1

B'train' method is missing required arguments

CSentences should be a flat list, not list of lists

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

Step-by-Step Solution

Solution:

Step 1: Check Word2Vec parameters
Recent Gensim versions use 'vector_size' instead of 'size' for vector dimension.
Step 2: Verify other code parts
'train' method usage and sentences format are correct; min_count=1 is valid.
Final Answer:
The parameter 'size' is deprecated; use 'vector_size' instead -> Option D
Quick Check:
Use 'vector_size' not 'size' [OK]

Quick Trick: Use 'vector_size' for dimensions in Gensim 4+ [OK]

Common Mistakes:

MISTAKES

Using old 'size' parameter causes warnings or errors
Thinking sentences must be flat list
Believing min_count must be >1

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What is wrong with this code snippet for training Word2Vec?

Step 1: Check Word2Vec parameters

Step 2: Verify other code parts

Final Answer:

Quick Check:

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