Mission Impossible 4 Ghost Protocol Dual Audio 720p Online

import numpy as np from gensim.models import Word2Vec

# Example usage title_vector = np.concatenate([get_word_vector(word) for word in ["Mission", "Impossible", "Ghost", "Protocol"]]) Mission Impossible 4 Ghost Protocol Dual Audio 720p

# Getting a vector for a word def get_word_vector(word): try: return model.wv[word] except KeyError: return np.zeros(100) # Default vector for out-of-vocabulary words import numpy as np from gensim

# Example list of sentences (pre-tokenized) sentences = [["Mission", "Impossible", "4", "Ghost", "Protocol", "Dual", "Audio", "720p"]] Mission Impossible 4 Ghost Protocol Dual Audio 720p

# Training a simple Word2Vec model model = Word2Vec(sentences, vector_size=100, min_count=1)