4 déc. 2020
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.
26 août 2017
Quite challenging but also quite a sense of accomplishment when you finish the course. I learned a lot and think this was the course I preferred of the entire specialization. I highly recommend it!
par Stanley C•
15 mai 2019
Assignment grading is way too rigid and not reflective of real world issues. It can be very frustrating.
par carol a•
23 oct. 2019
Instructions for assignments are vague and incorrect. Instructor was hard to follow during lecture.
30 avr. 2019
The video lectures are good, but there are many issues with the Jupyter notebook assignments.
par Francisco H•
8 août 2021
There were some errors in the autograders and sometimes lack of response from mentors.
par Michal K•
16 déc. 2021
First weeks of the course are great, but then it lacks in programming exercises
par Alexandros B•
4 oct. 2017
poor organization of the lesson and many many mistakes during assignments
par Alex M•
27 août 2017
Instructors did a poor job of preparing students for the assignments.
par Ji S•
15 avr. 2018
Too coarse, quality worse than other courses in this specialization.
par Abhishek J•
10 oct. 2020
it was so basic ! i was expecting some more detailed course on nlp
par Steven P•
19 févr. 2021
Very basic, but clear - just lacks the depth i was expecting
par L C•
22 nov. 2020
I found the course quite dry and hated the auto grader...
29 juin 2019
Far from expectation, feel upset
par Rodrigo L•
1 oct. 2021
very poor course
par christopher h•
18 nov. 2017
Compared to other courses in the Applied Machine Learning focus, this is so far the worst. The content and quality are poor. The lecturer is too slow and fails to prepare the student for the assignments. First week is very basic and ends with an assignment in regex. There's plenty of regex resources out there. 2nd week moves forward but finalizes in an assignment that involves concepts not covered in the lecture (ngrams). Weeks 3 and 4 contain too many errors in the lecture and autograder (use of AUC, finding minimum of a sparse array). UofM should rebuild this course.
par Tomás M•
2 déc. 2022
The course is just an absolute random collection of videos poorly explained, where no one is explaining why things are done in a particular way, with a poorly selected somewhat random APIs in NLP.
Very little practice and the assignments have basically nothing to do with what was "explained" in the videos. Plus, the discussion forum is absolutely full of dust and no one replies for the last 4 years.
It is really such a pitty that Michigan doesn't put any effort in keeping this up, but still offers something that is completely useless for students.
par Cande P•
2 déc. 2022
This course is not meant for LEARNING Text Mining, Assignments do not address contents of the lectures, many instructions are not clear, feedback on assignments is very scarse, si one does not know where they are making a mistake, and Discussion Forums HAVE NOT BEEN RESPONDED IN OVER 4 YEARS. It is a shame that coursera leaves some courses from certain universities to just sit there with no one answering forums or aiding students' learning process.
par Maximilian W•
14 févr. 2020
Serious sub-par course in the specialisation. The lecturer is good, but sadly the assignments are terrible. Thus the reinforcement - and reliability to problem solving - of the content is poor.
Given the high standard of the first three modules in this specialisation, this is really a shame. I would urge learners to consider whether there is much point in doing this course (other than to get the specialisation completed).
par Rafi N•
29 nov. 2022
the worst course I had.
The assigments are really bad.
They are not teach you how to do text mining . You spent hours for nothing
most of the studet take the answers from the web (google the name of the course)