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Avis et commentaires pour d'étudiants pour Sentiment Analysis with Deep Learning using BERT par Coursera Project Network

363 évaluations

À propos du cours

In this 2-hour long project, you will learn how to analyze a dataset for sentiment analysis. You will learn how to read in a PyTorch BERT model, and adjust the architecture for multi-class classification. You will learn how to adjust an optimizer and scheduler for ideal training and performance. In fine-tuning this model, you will learn how to design a train and evaluate loop to monitor model performance as it trains, including saving and loading models. Finally, you will build a Sentiment Analysis model that leverages BERT's large-scale language knowledge. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Meilleurs avis


11 oct. 2020

Clean, clear and helpful. Thanks a lot!

Would also be nice to see the approaches to tune BERT for the particular task (e.g. custom tokenization, pre-processing of data, etc.)


27 juil. 2020

Thanks to Mr.Ari Anastassiou

Sentiment Analysis with Deep Learning using BERT! is been really a wonderful project .Enjoyed it

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51 - 75 sur 77 Avis pour Sentiment Analysis with Deep Learning using BERT


24 sept. 2020


par k j

1 juil. 2020


par Vajinepalli s s

16 juin 2020


par tale p

16 juin 2020


par Yen S L

12 sept. 2020

Content is ok but wish he explained more. I rather there by less typing and more explaining. I found myself having to pause the video a lot to look up code syntax lest it becomes a typing exercise. The Rhyme platform for assignments is nice in concept (side by side notebooks) but is barely usable in practice. Typing was laggy and it won't allow cut and paste which is really silly given how much code is over copied to be modified (e.g. train vs validation). I dislike Rhyme enough that I will probably not want to do another project involving it!

The project length is just nice and nicely broken into 10 tasks so you'll at least understand the major steps if not all the code

par Timothy Q

3 nov. 2020

This project is enough to give you a quick overview of how powerful BERT algorithm is. However the instructor barely explained how it works and the course feels very rushed. I don't know if Coursera limits the length of these guided projects to a specific period, but they should definitely consider providing more content on these courses.

par Learn P P

27 juin 2020

The interface seemed laggy. I had internet connection of 10Mbps. I don't know if it was because of that or because of the OS. There should have been a minimum internet speed requirement if we want to do the hands-on code. Otherwise, the project is good and the instructor taught us well.

par Siddique Z A

8 août 2020

Nice experience with this course especially while creating the project of sentiment analysis on rhyme environment but the practising session is not much vissible in rhyme because of the size of the window.

par Wira M

13 févr. 2021

Good instructor, however anyone join this must have at least a knowledge in basic Python Programming and have learned about BERT and fundamental of Natural Language Processing

par Divya B

18 nov. 2021

The course covered the material well. Helpful to do the exercises side by side. I feel the course does require prior knowledge of pyTorch and BERT also.

par Rajiv K

30 juin 2020

Required detail explanation and faculy support for error soliving and explroing alternative

par shantanu b

5 juin 2020

Need major improvement with the interactive notebook along with its response time and UI

par Murtuza B

25 sept. 2020

Thank you so much for creating this project! Appreciate your time and efforts!

par Nicole G C

18 juil. 2020

I didn't like the platform you use. Rhyme, it's not a good tool.

par Ramkumar R

5 juin 2020

Very useful to learn more with deep learning using Bert

par Rohit L

4 août 2021

the instructor could try to explain a bit more

par SYED A G S

16 mai 2020

its very helpful and very good


30 mai 2020

Awesome Project

par prashant b

22 sept. 2020


par Ovi S

2 juin 2020


par M M A

26 juil. 2020


par Nikhil C K

1 juin 2020


par Seema A

23 mai 2021

All in all good. But it would have been much better with more explanations about the code.


28 juin 2021

It's not up to coursera Standards. Could have been done much much better. Only one good thing can out of it for me that he has provided one or two good reference for reading about BERT.