I enjoyed the course and have found the topics very interesting. One criticism is that the general quality of notebooks provided with example codes wasn't as high as for other courses in the specialization.However the lecturer was really nice and gave very good explanations even for complicated concepts.

The lessons are useful, and all of the knowledge is a must have. Some things could go deeper, some needed more explanation. As a result this is a must have course for text mining but I think that the level is introductory and in real world one must have more skills to perform a respected text mining.

Great course overall. I have learned a lot, but last week had no tutorial example covering the topic and w4 assignment was not literally described resulting in spending a huge amount of time on trying which possible solutions will be accepted by autograder. Discussion forum helped a lot though.

An excellent course, it gives a full introduction to text mining, what it is useful for, covers different techniques, provides challenging activities. Maybe it lacks of a practical activity in Week 4 before the assessment, but overall the course has very good content and an excellent instructor

Great course! I have been doing some text mining in another tool, and I learned some useful things that I was able to put to use almost immediately ... now that I have the data science part in hand, I just need to figure out some Python details in order to format my output for my client.

Great teacher, great course. Topics are very interesting and well explained, assignments' difficult is just right. I'm sure they will put this review in some kind of sparse matrix in order to train a classifier and make previsions for future students...so it is a must-join course!

I learnt about NLTK package and its capabilities. It was good to know how to build vocabulary and guess missing words and match sentences lemmatizing them. Good eye opener course. There is way much more to be learnt in this subject. This is just an introduction (a good one).

The course is pretty great as an introduction on text mining, topic modelling, etc. Not nearly as bad as some of the reviews suggest, but not as good as others in specialization. Read assignment directions very carefully and you'll have no issues with autograder.

Very Nicely taught course. Lots of example and week 1 case study was full of learning. But this course needs a bit of revamp as the transformer models such as BERT, Roberta and other self attention transformer models has completely changed the NLP landscape

When looking at the full course in coursera, I was thinking that would be the course which would interest me the least, but at it turned out, now I'm really interested in text mining, and I'm planning to read more publication to understand that field

This is a fantastic course though you might find some trouble with the grading part (Auto grading). This course will give you a good understanding about the various most useful techniques in text mining. Course is well structured and really helpful

Well-taught course, I'd been struggling with regular expressions, thank you for simplifying the concept; additionally, you've opened my eyes to an entirely new world of data science for which I can think of an immediate productive application. :-)

The overall course was well designed, all lectures were arranged in a proper sequence and all the slides and jupyter notebooks were good covering all the aspects, but I felt some difficulties in the 2nd week in POS tag, overall it was too good.

This was hard but worth it. However, it didn't have extensive coding examples, which made it pretty hard to apply techniques on assignment. It might be a good way to induce creative thinking but very painstaking for students. Be aware!

It was a great course about data mining. It covered the basics well. I would have liked maybe another week covering the topic distribution and it would be really nice if there were a notebook for every code shown in the videos.

Exceptional!

I was using up to now strictly regular expressions for text mining, and that was a headache.

This course opened a new whole world to me! I strongly recommend it to any one that wants to use ML to study texts

Great course! Even fighting with the grader didn't spoil the joy from learning new things)) Forum with useful comments of classmates is really a big deal. Thank you everyone who succeeded and shared their findings.

Well-structured, awesome pedagogy and challenging assignments. It has all the elements it takes to make a MOOC epic! Thanks UMich and Coursera for helping put this course together and allowing me to pursue it.

Assignments were very well designed and tested the understanding thoroughly. The lessons were crisp and the instructor had put in a really great effort in designing the overall layout.

Kudos to professor.

Good Course! The expected format for the assignment answers is often a little bit too finicky, but with careful reading of the prompts, they are all doable, and the tasks themselves are fun and useful.

Excellent course to get started with text mining and NLP with Python. The course goes over the most essential elements involved with dealing with free text. Definitely worth the time I spent on it.

Everything was awesome, assignment 2 was my favorite in a long while in this specialization series. Week 4 was a little weak, and felt rushed. Overall, I enjoyed this course 4 of the 5.

The course is great, but I would suggest some contact with the issues and problems faced. Some parts of the exercises are advanced for those who have never had contact with the subject.

La variedad de temas del curso lo hace un curso muy recomendable. El nivel de las tareas está de acuerdo a lo que se enseña. Muy recomendado como un primer acercamiento al tema.

Nice experience..Thanks to Resp.Professor for clear the concepts so deeply and enhancing the knowledge in right path..Niceever and helpful course..Thanks to team & university..