Random Word Embedding Generator Using Gensim#s KeyedVectors

This function uses the KeyedVectors class from the gensim library to load pre-trained word vectors (e.g., GloVe) and generates a word embedding for a given word. If the word is not found in the vocabulary of the word vectors, a random vector is generated.

Technology Stack : gensim, KeyedVectors, numpy

Code Type : Python Function

Code Difficulty : Intermediate

                
                    
def generate_random_word_embedding(word):
    """
    This function generates a random word embedding for a given word using gensim's KeyedVectors.
    """
    from gensim.models import KeyedVectors
    from gensim.scripts.glove2word2vec import glove_file_to_word2vec
    import numpy as np
    
    # Load pre-trained word vectors (e.g., GloVe)
    word_vectors = KeyedVectors.load_word2vec_format('glove.6B.100d.txt', binary=False)
    
    # Check if the word is in the vocabulary of the word vectors
    if word in word_vectors.vocab:
        # Return the word vector
        return word_vectors[word]
    else:
        # Generate a random vector if the word is not found in the vocabulary
        random_vector = np.random.rand(100)
        return random_vector