poor organization of the lesson and many many mistakes during assignments

Instructors did a poor job of preparing students for the assignments.

Too coarse, quality worse than other courses in this specialization.

it was so basic ! i was expecting some more detailed course on nlp

Very basic, but clear - just lacks the depth i was expecting

I found the course quite dry and hated the auto grader...

Assignments are ambiguous, could be cleaned up

Far from expectation, feel upset

very poor course

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.

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.

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.

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).

Videos are great, but assignments are stupid. Evaluation (grading) didn't work properly, and pedagogically, assignments do not evaluate topics related to the videos. Worst, mentors refuse to admit that there is a huge problem in their evaluation system. It's a pity, since the videos are nice.

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)