Word2Vec Model Training Function

This function uses the Word2Vec class from the gensim library to train a word vector model. It accepts text data as input and can specify the vector size and window size.

Technology Stack : gensim

Code Type : Function

Code Difficulty : Intermediate

                
                    
def word2vec_example(text, vector_size=100, window_size=5):
    from gensim.models import Word2Vec
    from gensim.models.word2vec import Text8Corpus
    
    # Create a Word2Vec model
    model = Word2Vec(Text8Corpus(text), vector_size=vector_size, window=window_size)
    
    # Return the trained model
    return model