← all courses

Natural Language Processing with Classification and Vector Spaces

DeepLearning.AI · View on Coursera ↗

Taught by Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu

Data ScienceComputer Science

Coursera
4.6
headline rating
Starisk
2.7
Inflated

About the course

In Course 1 of the Natural Language Processing Specialization, you will: a) Perform sentiment analysis of tweets using logistic regression and then naïve Bayes, b) Use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector space and visualize those relationships, and c) Write a simple English to French translation algorithm using pre-computed word embeddings and locality-sensitive hashing to relate words via approximate k-nearest n

The dissent

The most-upvoted critical review (84 votes, 2.0★).

“Lectures are too short and the topics are overly simplified. Assignments are toy examples.”

2.0 / 5

Read the full review on Coursera ↗

Coursera's 4.6 comes from 4,648 ratings. Of those, 2.6% are 1–2★.

Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.

That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.

Reviews read on 23 Oct 2026.Read them on Coursera ↗