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Learner Reviews & Feedback for Natural Language Processing with Classification and Vector Spaces by DeepLearning.AI

3,836 ratings

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 neighbor search. By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, created tools to translate languages and summarize text, and even built a chatbot! This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper....

Top reviews


Jul 17, 2020

One of the best introductions to the fundamentals of NLP. It's not just deep learning, fundamentals are really important to know how things evolved over time. Literally the best NLP introduction ever.


May 24, 2021

Great Course,

Very few courses where Algorithms like Knn, Logistic Regression, Naives Baye are implemented right from Scratch . and also it gives you thorough understanding of numpy and matplot.lib

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551 - 575 of 773 Reviews for Natural Language Processing with Classification and Vector Spaces

By Alexander S

Aug 18, 2020

Very easy to understand and provides useful techniques I was able to apply immediately. Only downside is the exercises seem a bit on the side of spoon-feeding. The most extreme example being where there's a comment telling us to increment a number by 1, and we literally have to put a 1 there.

By Junior B

Jun 20, 2022

The content is really interresting but the programming assignments are not as challenging as they should be. I was expecting more in-depth programming of the mathematical concepts and what we were required to do was just to implement some basic python code around the interresting functions

By Rakshit c

Nov 19, 2020

Its well structured course, that builds the foundation in a very simplistic way in its videos and then gives practical implementation using python in exercise. Although there are lot more NLP concepts that are missing in it which I believe will get covered in the remaining specialization

By Spontaneous B

Jun 14, 2021

It was a fairly good course, but I still expected a bit more from it. The coding assignments could have been improved. rather than making the assignment "fill in the blanks" type, make it more research project oriented. Overall a good exp, learned a few new skills. Thanks!

By Krum A

Sep 13, 2020

The course is very good in building intuition of important NLP topics (lectures especially). I would love the labs to include non-numpy tools, otherwise much of the effort goes into figuring numpy out, rather than trying to use the intuition from the lectures in practice.

By Praveen B

Nov 25, 2022

Props / videos which show real visualization can improve by a lot. Exercises though easy to medium, can be frustrating sometimes. The comments given for guidance are confusing sometimes. Support needs to improve rather than asking us to put on the bulletin board.

By Jeroen v H

Jun 29, 2020

Quite good - no idea why the one trainer tells us in the videos he is going to teach us something and then the other trainer does all the work. And at the end he comes back to tell us what he taught us - but he did not. All he does is intros and outros of videos.

By Hrushikesh V

Aug 13, 2020

Although the course is great, the video lectures could go into more detail regarding how exactly to implement the theoretical concepts taught in python. The lack of this implementation explanation makes the weekly programming assignments unnecessarily difficult.

By David A

Nov 19, 2021

Good overview, it is quite basic especially if you have previous background on NLP but helps to you have an introductory background of the most basic techniques when treating word embeddings. Eager to keep the specialization to see how complex it would get!

By Saumya G

Feb 26, 2021

There could have been more depth added to this course, this would make it more interesting. I liked this course, but on some topics, it seemed more of like we just touched upon and finished. So, adding more insights may be more useful to this course.

By John H

Oct 31, 2020

Very well thought out course, great connections between the weeks and everything builds up into real world applications. I am fairly certain there a small number of errors in some math and some of the hero videos would not load for me.

By Gokul G

Mar 19, 2021

I was enjoying this course. But last week was not good. In the last week's assignment you have given everything, and have no clue of understanding why when how. I am disappointed because of last week. It was complete waste of time.

By kemal A

Feb 16, 2021

Great course on the theory part but the assignments should be more flexible when writing the code, it is just fill in the blanks which restricts you and because of the explicit instructions it is hard to dive in and concentrate.

By J N B P

Feb 16, 2021

A really good course that helps you get started in learning Natural Language Processing. It would be very helpful if you're familiar with some basic mathematical concepts of Machine Learning like Sigmoid function, PCA, etc.

By csr y

Jul 4, 2020

Lecture is clear and concise. It's good to learn the high-level concepts of basic building blocks and foundation of NLP. However, the online programming exercise has some glitches that needs to be taken care of.

By Ajitesh S

Aug 2, 2020

Overall the course was good how ever more intuitions could have been provided on the algorithm part. For example LSH, its short coming while performing sentence similarity tasks should have been discussed.

By Florian C

Jul 23, 2021

The course gives a good introduction into the basic concepts behind NLP. However, I would have liked to see some more exercises that really challenge you to implement longer sections of code on your own.

By marco s

May 31, 2021

The course is great for gaining intuition about some topics in NLP (Preprocessing, Word embeddings). However, some topics are quite advanced and it will take a while to understand those (PCA, LSH).

By Alistair J W

Jan 20, 2021

The course material is very good but the code provided is not of the highest standard and the auto-grader is very idiosyncratic. There are typos in the comments in the code that are unfortunate.

By bob n

Feb 1, 2021

Nicely paced. Breaks material down into nice bite-size pieces. Labs helpful and mostly good instructions, had a few "what's wanted here" moments, but most issues were brain farts on my part.

By Jonas B

Mar 5, 2023

nicely explained. grasped all the concepts quickly. Would give 4.5 stars if possible. 1 star less, because the programming assignments could be a little bit less guided and straight forward.

By Kelvin L

Jun 4, 2021

Good course. I'd be more happy if the reading sections are more helpful and contain more references. Not just summary of the video lectures. Overall, good introduction to NLP for beginner.

By Toni H

Jul 19, 2021

A decent intro to get into NLP I guess. From practical standpoint, feel a bit like this is bunch of semi-heuristic methods that are bit dated. Could use some more big-picture motivation.

By Jim C

Apr 21, 2021

The material was a little shallow in places, and there are some long standing issues with assignments and quizzes that remain unresolved. Other than that, it was an interesting course.