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Ratings and Reviews for Applied Text Mining in Python

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Reviews and Ratings

4.2

3,349 Ratings from Coursera

Reviews

Excellent material
The videos are very good, the teacher is clear and concepts are explained well. The assignment are frustrating because of the misunderstanding that could arise due to the nature of the assigments themselves. Exercise are not explained well. Overall it is a good course, I would do it again.
Really Nice and very helpful course..................
Hard course, good concepts but needs more visualization of the concepts
Very useful course to text mining.
The course Assignments could be more clear and consistent with what is actually taught in the class. A good example is when n-grams were required to calculate the similarities, but have actually not been introduced in the video yet. Also, an expected answers would be nice for the assignments. Other than that, it was a nice introduction to NLP in Python.
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.
liked the course material, well presented and Assignments are well framed. Enjoyed the Course very much!
Great material with practical applications! I utilized a lot from this course in my work! I think the assignments should be made a little bit more clearer, specially the first one. Took a lot of time to do the first one, due to some exceptions that were not mentioned in the exercise, at least one should mention that there might be cases other than specified here. Overall a great course! Thanks!
Although the topic of Text Mining is very interesting, I find that the AP did not dive deep enough into the various topics. The matter that he did explain was interesting, but at some parts not really clear. I missed a clear line of thought. Concerning the assignments: very interesting topics, but the guidelines could be clarified to nip any possible confusion in the bud. Also, some exercises could be split up into multiple ones so that debugging becomes easy. Many students in the Discussion Forum mentioned difficulties.

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