Aug 27, 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!
May 04, 2019
Lectures are very good with a perfect explanation. More than lectures I liked the assignment questions. They are worth doing. You will get to know the basic foundation of text mining. :-)
교육 기관: Lalit S•
Jan 29, 2019
교육 기관: Kristin A•
Jan 30, 2019
A good intro to NLTK and text mining in Python, though sometimes the effort put in to render an assignment acceptable to the autograder was a headache.
교육 기관: bictor•
Nov 06, 2018
교육 기관: Vo C C•
Nov 09, 2018
The assignments are a little hard and have some errors, but the overall explanation is awesome.
교육 기관: Lucas S R•
Feb 08, 2019
The course presented a good content for beginners in NLP and I feel confident to start using what I learned in my work. But, the grader for the assignments is too slow and buggy, this should be fixed so new learners don't feel frustrated. In addition, for assignment 4, the lda trainning parameters are not viable for trainning in coursera's environment, it should be reviewed.
교육 기관: CaitlinYao•
Feb 17, 2019
The assignments are much harder than the slides, which means much more self-learning is required.
교육 기관: Roberto L L•
Mar 01, 2019
This an excellent course to open a door for NLP, an exciting topic.
교육 기관: Muhammad S J•
Mar 08, 2019
Overall course is very usefull for me. But there is lot of detail is missing in week 4. Wordnet and Gensim usage, Detail about the LDA and semantic similarity. I hope next time there is separate video lecture for detailed about Semantic simalarity.
교육 기관: Alexander G•
Jan 13, 2019
It would help to connect the teaching better to the assignments. Especially in Week 4 there is to little connection. There is not even a course notebook to practice some of the material.
교육 기관: Rahila T•
Nov 15, 2018
교육 기관: Utkarsh T•
Dec 18, 2018
교육 기관: Michael M•
Mar 22, 2019
Great course. Auto graders have some issues.
교육 기관: Frank L•
Oct 14, 2017
Was very detailed and well taught
교육 기관: Patrick L•
May 26, 2018
Great course, didn't expect to get so much value out of it. Sometimes the instructions in the assignments are unlear though.
교육 기관: Aleksey B•
Mar 08, 2018
Some assignments were very ambigues - namely part One of final assignment.
교육 기관: Nicolas B•
Aug 26, 2017
Great course, could improve the last week with more practical examples.
교육 기관: Christos G•
Aug 22, 2017
This was a very well thought and assembled set of Text Mining applications in Python. The complexity and profoundness of the topic somehow prohibited the instructors from sufficiently explaining the details in some occasions, which might eventually cause frustration with the students. However, perhaps this wide-first approach versus the deep dive is preferable for the purpose of the course. In all cases, Google and Stackoverflow will always remain as last resorts and supporting information sources.
교육 기관: Sebastian H•
Mar 18, 2018
The course is quite interesting and you learn the basic concepts and tools.
The programming assignments were sometimes unclear in the formulation of the tasks. Additionally the autograder seems to be a bi buggy, which was very frustrating and cost me a lot of time.
But, thanks to the vivid and helpful discussion forum in the end it is feasible.
And since you learn the most out of all this little hurdles ;) , the course is still very valuable!
교육 기관: Fedor K•
Nov 16, 2017
교육 기관: cheting c•
Jun 22, 2018
Overall good class but the assignment design is somehow bad. Should give some hint otherwise we do not know if we get a wrong answer or the autogarder is not working.
교육 기관: Saber D•
Jan 17, 2018
Very useful course to text mining.
교육 기관: Aditya R•
Oct 05, 2017
교육 기관: Kunal c•
Aug 10, 2017
There were certain issues with the autograder. But the course content was good
교육 기관: Jeremy L•
Oct 26, 2017
The course itself is good, but the assigment system is not robust and some sentences are also ambiguous to users. Seeing from the forums, many users get confused in the assigments.
교육 기관: Dongliang Z•
Jan 13, 2018
wk1-wk3 are good. w4 is a little weak to build the connection between texting mining and coding. Moreover, it will be more straightforward if the lecturer teaches more about the procedure to deal with text mining. I just passed this course but don't master text mining technique through it.
It is still a good introduction to texting mining, a very beginning of it.
My suggestion is that wk4 should be reconstructed to make people really believe they can use what they learn in this course after they pass the assignments.
Finally, thanks the lecturers for introduction. Especially thanks all students who contribute a lot in forum. Without them, I cannot pass the assignments.