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Voltar para Processamento da Linguagem Natural

Comentários e feedback de alunos de Processamento da Linguagem Natural da instituição National Research University Higher School of Economics

661 classificações
166 avaliações

Sobre o curso

This course covers a wide range of tasks in Natural Language Processing from basic to advanced: sentiment analysis, summarization, dialogue state tracking, to name a few. Upon completing, you will be able to recognize NLP tasks in your day-to-day work, propose approaches, and judge what techniques are likely to work well. The final project is devoted to one of the most hot topics in today’s NLP. You will build your own conversational chat-bot that will assist with search on StackOverflow website. The project will be based on practical assignments of the course, that will give you hands-on experience with such tasks as text classification, named entities recognition, and duplicates detection. Throughout the lectures, we will aim at finding a balance between traditional and deep learning techniques in NLP and cover them in parallel. For example, we will discuss word alignment models in machine translation and see how similar it is to attention mechanism in encoder-decoder neural networks. Core techniques are not treated as black boxes. On the contrary, you will get in-depth understanding of what’s happening inside. To succeed in that, we expect your familiarity with the basics of linear algebra and probability theory, machine learning setup, and deep neural networks. Some materials are based on one-month-old papers and introduce you to the very state-of-the-art in NLP research. Do you have technical problems? Write to us:

Melhores avaliações


Jan 02, 2019

I like this course very much. It is a good introduction for NLP. But if you want to know more about the NLP, you need to search and read a lot of posts during the learning process.


Dec 18, 2019

One of the best courses I took from coursera. Good mathematical knowledge, resources provided are related to current research. Assignments are more than expected.

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151 — 166 de 166 Avaliações para o Processamento da Linguagem Natural

por Alejandro G

May 16, 2018

Nice introduction and very practical

por Wei Z

Aug 22, 2018

Good but some content felt rushed

por Himanshu B

Dec 19, 2019

Nice course for leaning NLP! :)

por rashmi

Mar 29, 2019


por Luke B

Jun 03, 2019

This was a good class, and I want to give it more stars, but the default path for completing the final project requires far more time than the course specifies, making it difficult to properly manage one's time.

por Omar F

Sep 02, 2019

The course material overall is good. However, the assignments are not very beneficial from my point of view.

The peer review is totally a mess -no one really review an assignment-

por Angela B

Jul 06, 2019

Good information, but I am struggling understanding the presenter. The course feels a bit forced.

por ravi k

Aug 07, 2019

Good and useful content but weak quality in providing directions in assignments and zero help

por Y P R

Jan 22, 2020

Theoritical explanation was good but we expect practical explanation

por Oleksandra P

May 02, 2020

The lectures were fine (content wise) even though a little challenging to comprehend, but programming assignments are completely outrageous. Unlike in specializations from other universities where you can check the quality of your code in every step of assignment (e.g. make sure input/output shapes are correct, datatype is optimal etc.), here they just give you a large notebook with few missing lines which you have to fill and if something's not working - good luck figuring all out completely on your own. Staff was irresponsive and not helpful. Therefore I will have to unenroll.

por Joris D

Sep 22, 2019

This is a very good course, brought with clarity and humour, and excellent quizzes and assignments to assess your understanding of the material. The big problem it has is the final project, which requires you to run a piece of software on an AWS free tier server. An impossibility, because the software requires more memory than Amazon offers in its free tier. Moreover, as it crashes every few hours, peer reviewers can find it not working and have to contact you to restart it. Constant monitoring for several days is required.

por Oshrat K

May 22, 2020

very technical but there is not motivation regarding the reason behind it

por Raiymbek A

Apr 19, 2020

The course was way worse than my expectations after the first course in the series- Introduction to Deep Learning. I really liked the NLP week at the first course and the lecturer there was saying that in the actual nlp course there will be way more details and explanations like for skip gram model. However, the course almost does not offer any explanation. It mentions algorithms rather than explaining them. Like they do not explain forward backward algorithm for Baum Welch just mention it and I had to search and read about it myself. I am just writing it after I watched the doc2vec video and there were like only one or two slides of how we go from word2vec to doc2vec. Absolutely no explanation she just mentioned that those algorithms exists. Maybe I am too stupid to take this course, and everything is obvious, but for me I took this course after I finished introduction to Deep Learning because I really liked NLP explanation int he first course. Also I ask a question in the forum and nobody answers for weeks

por Marthala N R

Jun 27, 2020

Really really bad teaching. period. word usage. they introduce a term to you now, and use a different term meaning the same term, which has been introduced earlier, but the student will have no idea of it.

2.the way these teachers approach teaching a concept is worst I have ever seen my whole life. These teachers just read from the slides and just a sentence or two more from what is in the slide. Slides should serve only as a compliment to what a teacher talk about, not read from the slides itself.

por Deepak C

Apr 30, 2020

Full of Mathematical explanation..Nothing from code perspective

por Vladislav G

Mar 19, 2020

Pronunciation is terrible.