Of all of the Applied Data Science with Python classes I have taken, this was the worst. If it were not for the discussion groups I would not have been able to complete the course. And the discussions groups requested help from instructors and received little to none. Part of the problem is that the auto-graders were broken, the rest of the problem was that this class relied on the online documentation. And of the classes in Applied Data Science with Python, this one has the worst documentation. Hence the class needed more help.
Ratings and Reviews for Applied Text Mining in Python
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Reviews and Ratings
Reviews
Honestly, I was pretty disappointed in this course. Assignments consistently took much longer than indicated, in large part because of recurrent problems with the autograder and unspecified requirements in assignment instructions.
Useful topic.
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).
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.
Very good course, a lot of articles (most optional) but really interesting
The course materials were interesting, but there were also a lot of issues with the autograder. Hopefully they will be fixed for the next sessions.
This is the 4th one and also a very important building block in the data science specialization. However comparing to the other courses there is much talk from the lecturer and not so much of interesting background information of this topic. So this course does not go far beyond a good tutorial.
I liked the course, but it felt as a very raw overview, I think it could have been more challenging when it comes to the models explained.
Great course!