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. :-)
By Aditya R•
Oct 05, 2017
By Kunal c•
Aug 10, 2017
There were certain issues with the autograder. But the course content was good
By 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.
By 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.
By Gunjari B•
Jun 18, 2018
Lecture materials are not comprehensive enough to solve the assignments. Course is dependent on precursor courses in the specialization. Assignments often require reference from upcoming weeks. lectures are inadequate. The course is average at its best
By Vinicius G•
Dec 26, 2017
I did not give 5 starts because Assignment 4 was really hard. It required too much knowledge from outside. The week 4 modules poorly prepared me for assignment 4.
By Traci L J•
Dec 07, 2017
I learned a lot about regular expressions, how to use NLTK to parse words and parts of speech, and to apply machine learning techniques from the third course to text.
The homework assignments were finicky with the autograder and often there was a lot of frustration regarding the exact data types of the output. I spent a lot of type debugging over simple things that could have been clarified in the assignment description. However, the discussion forums are active and people are willing to give feedback!
By Oscar J O R•
Sep 02, 2017
Nice introduction to the topic and interesting tools. The evaluation system could be improved adding more resources focused on the use of the nltk functions or giving some advice about the critical points in the Python demonstrations.
By Leo C•
Feb 17, 2018
Love the focus on conceptual text processing and practical guides to implementation in python, but the assignment grader was extremely specific for no reason, especially the Week3 assignment.
By Liran Y•
Apr 07, 2018
By Niels R•
Apr 24, 2018
Overall this is well done course, but the autograder for week 2 needs a lot of work. It was buggy, broken and gave uninformative answers.
By Girish G•
Nov 20, 2017
Awesome course..It is a good start for NLP. Comprehensively covers all topics. The Autograder for the programming assignment needs
By Iurii S•
Feb 10, 2018
overall a goods intro into text analysis
By João R W S•
Aug 23, 2017
Very good course with very good material and teachers. I just missed some more practical examples to follow along the classes, and more further readings (specially for information extraction).
By 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!
By Fedor K•
Nov 16, 2017
By 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.
By Saber D•
Jan 17, 2018
Very useful course to text mining.
By Zihao H•
Mar 18, 2018
The final assignment is not well worded, and answer for the autograder is too strict.
By Frank L•
Oct 14, 2017
Was very detailed and well taught
By 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.
By Aleksey B•
Mar 08, 2018
Some assignments were very ambigues - namely part One of final assignment.
By Nicolas B•
Aug 26, 2017
Great course, could improve the last week with more practical examples.
By 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.
By Dinesh D•
Dec 15, 2017
Course material was good but week 4 assignment set up is a disaster.