| from gensim.models import Word2Vec | |
| import pandas as pd | |
| spotify_data= pd.read_csv('spotify_data_processed.csv') | |
| # Asumiendo que spotify_data['cleaned_text'] contiene listas de palabras (tokens) | |
| spotify_data['cleaned_text'] = spotify_data['cleaned_text'].apply(eval) | |
| model = Word2Vec(sentences=spotify_data['cleaned_text'], vector_size=100, window=10, min_count=1, workers=5) | |
| # Guardar el modelo | |
| model.save("word2vec_model.model") | |