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.
Questo esercizio fa parte del corso
Feature Engineering for NLP in Python
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# 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))