Get startedGet started for free

Comparing linear_kernel and cosine_similarity

In this exercise, you have been given tfidf_matrix which contains the tf-idf vectors of a thousand documents. Your task is to generate the cosine similarity matrix for these vectors first using cosine_similarity and then, using linear_kernel.

We will then compare the computation times for both functions.

This exercise is part of the course

Feature Engineering for NLP in Python

View Course

Hands-on interactive exercise

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

# Record start time
start = time.time()

# Compute cosine similarity matrix
cosine_sim = ____(____, ____)

# Print cosine similarity matrix
print(cosine_sim)

# Print time taken
print("Time taken: %s seconds" %(time.time() - start))
Edit and Run Code