Which articles are similar to 'Cristiano Ronaldo'?

In the video, you learned how to use NMF features and the cosine similarity to find similar articles. Apply this to your NMF model for popular Wikipedia articles, by finding the articles most similar to the article about the footballer Cristiano Ronaldo. The NMF features you obtained earlier are available as nmf_features, while titles is a list of the article titles.

This exercise is part of the course

Unsupervised Learning in Python

Exercise instructions

Import normalize from sklearn.preprocessing.
Apply the normalize() function to nmf_features. Store the result as norm_features.
Create a DataFrame df from norm_features, using titles as an index.
Use the .loc[] accessor of df to select the row of 'Cristiano Ronaldo'. Assign the result to article.
Apply the .dot() method of df to article to calculate the cosine similarity of every row with article.
Print the result of the .nlargest() method of similarities to display the most similar articles. This has been done for you, so hit 'Submit Answer' to see the result!

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Perform the necessary imports
import pandas as pd
from ____ import ____

# Normalize the NMF features: norm_features
norm_features = ____

# Create a DataFrame: df
df = ____

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

# Compute the dot products: similarities
similarities = ____

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

Edit and Run Code

This exercise is part of the course

Unsupervised Learning in Python

IntermediateSkill Level

4.8+

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Exercise 1: Non-negative matrix factorization (NMF)Exercise 2: Non-negative data Exercise 3: NMF applied to Wikipedia articles Exercise 4: NMF features of the Wikipedia articles Exercise 5: NMF reconstructs samples Exercise 6: NMF learns interpretable parts Exercise 7: NMF learns topics of documents Exercise 8: Explore the LED digits dataset Exercise 9: NMF learns the parts of images Exercise 10: PCA doesn't learn parts Exercise 11: Building recommender systems using NMF Exercise 12: Which articles are similar to 'Cristiano Ronaldo'?

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Exercise 13: Recommend musical artists part I Exercise 14: Recommend musical artists part II Exercise 15: Final thoughts