PYTHON

NMF cosine similarities

# Perform the necessary imports
import pandas as pd
from sklearn.preprocessing import normalize

# Normalize the NMF features: norm_features
norm_features = normalize(nmf_features)

# Create a DataFrame: df
df = pd.DataFrame(norm_features, index=titles)

# Select the row corresponding to 'Cristiano Ronaldo': article
article = df.loc['Cristiano Ronaldo']

# Compute the dot products: similarities
similarities = df.dot(article)

# Display those with the largest cosine similarity
print(similarities.nlargest())