Generating Random Sentences with Word2Vec

This function uses the Word2Vec model from the gensim library to generate a random sentence containing specified seed words. It first loads a pre-trained Word2Vec model from gensim's downloader, then finds the words most similar to the seed words using this model, and finally combines these words into a sentence.

Technology Stack : gensim

Code Type : Generate random sentences

Code Difficulty : Intermediate

                
                    
def generate_random_sentence(text_model, seed_words, num_words=5):
    import gensim.downloader as api
    from gensim.models import Word2Vec

    # Download a pre-trained Word2Vec model
    model = api.load("glove-wiki-gigaword-100")

    # Generate a random sentence using the Word2Vec model
    random_sentence = model.wv.most_similar(seed_words=seed_words, topn=num_words)
    
    return " ".join([word for word, _ in random_sentence])