Sep 21, 2016
Great course for those trying to understand how ro analyse and process text data. It has the right amount of tools to help you understand the basics of information retrieval and search engines.
Aug 29, 2016
A great overview of text retrieval methods. Good coverage of search engines. A longer course will cover search engine better (remember this is a 6 weeker)
By Shawn X•
Mar 28, 2018
I have learned a lot of concepts through this course, but at a shallow level. It is a great introduction course to IR. It can be improved by adding more programming tasks for hands-on exercise
By Eric Y•
Dec 12, 2017
Excellent lecture material with many very interesting concepts. Instructor clearly talks about topics and why they're important. -1 star due to: content being on quizzes before being covered in lecture, compilation errors in the programming assignments, errors in submitting programming assignments, and lack of instructor support/feedback on the discussion forms.
By Hyun J L•
Nov 30, 2017
By Watana P•
May 28, 2017
I found that there were a lot of mathematical function in this course. I need to see the examples of how are those functions applied in the real programming which support the business.
By Marcus M F T•
Aug 31, 2017
Good theoretical course. Some exercises need to be fixed, as they count for approval and are misplaced.
By Zaid O•
Sep 09, 2019
it's theoretical rather than practical
By Pouya E•
Sep 17, 2019
This course goes through the basics of text retrieval systems with an appropriate speed. However, the contents are quite out-dated for 2019.
By liz a•
Feb 16, 2019
very hard to understand teacher
By Peter B•
Dec 15, 2018
Lectures are fine for those who does not want to read a book and want to get a quick overview. Quizzes are very un-useful and buggy. There are questions presented that are not covered in the section. Programming assignments are optional because instructor did not want to adapt them for Coursera format so that they can be completed using tools of choice.
By Phillip J V•
Sep 11, 2018
The quiz content is out of sync with the lecture content and has not been fixed after what appears to be 2 years of comments in the course error message board and weekly discussion boards.
By Theodor G•
Dec 10, 2016
Interessant, but it wasn't organized too well. Some questions referred to topics which came in the next lesson
By Elio X R C•
May 19, 2018
I expected more exercises
By Tom H•
Nov 15, 2016
The course was great. What I had a real problem with was the lack of response for problems with the Honors programming assignments. I never received any feedback from the TA's and when I submitted to MeTa support, they said the school design the programs so they can't help. I got a Segmentation Fault on Assignment one which I never did get resolved. Because of this, I was unable to get the Honors status.
Sep 03, 2016
Ok. It was a rerun and there wasn't much help in the Forum and there were too few exercises. But it was really interesting.
By Michael B•
Jun 20, 2016
Very theoretical and somewhat dry. If you are interested in applied machine learning techniques (for text retrieval and analysis) this is not really the course to take. Gives a solid background though which, in my opinion, every aspiring data analyst needs.
By Ziyue L•
Dec 02, 2016
Too much theories ,I hope the professor add more programming assignment.
By Vivian Y Q•
Jul 24, 2017
i like the theory, wish more hands on with some softwares
By Siwei Y•
Mar 04, 2017
但是Honor Track 有着灾难性的问题。因为当前的作业源代码已经和最新的ＭＥＴＡ 不再兼容了， 作业源代码版本太旧。运气不好的话，学生要花巨量的时间来安装调试， 处理各种ｄｅｐｅｎｄｅｎｃｙ 的问题， 而这些根本不是学这门课所要做的。看看ｄｉｓｃｕｓｓｉｏｎ ｆｏｒｕｍ 里吧，哀鸿遍野。另外，在平常的作业里会有些低级错误， 连Ｍｅｎｔｏｒ 都无法自圆其说。希望能够及时纠正这些错误，不然真的可惜了这么好的内容。 本来要给五星的，两颗星就扣在这些地方。
By Alex C•
Nov 05, 2016
excellent material and great explanations! The main problem here is that quizzes will sometimes cover subjects not introduced until the following week.
By Stian F J•
Oct 22, 2017
Essentially a very interesting and well structured course. Unfortunately, its honours track programming assignments are plagued by technical issues, and there are inconsistencies between the schedule of the video lectures and what is asked in the quizzes.
By Paul N•
Jun 08, 2018
I got the sense that this course needs to be updated. Some of the quizzes covered work that had not been treated up to that point and the programming assignment did not work with the most recent version of the MeTA toolkit. For a course of this stature I would have expected a lot more attention to such detail. It would also appear as though the owners of the course material are not present on the forums with students left to their own devices.This course as well as the Text Mining one does not compare well with the Machine Learning course from Stanford offered on Coursera when considering the above issues.Some work is required I believe
By Vadim P•
May 03, 2019
The course does not give much of practical knowledge, mostly theoretical. For example, presented material does not teach you what is required to build a good search engine. Even theoretical part is mostly based on old view, which is proven to be not working. For some topics the exam was given before the topic was presented in lectures.
By Chen Q•
Apr 08, 2019
Some courses lack lecture notes. There are some mistake in the week exercise (some question regarding topic in wk5 appears in wk4). So the overall feeling for the course is not well considering it is a part of the school's graduate program
By Vivien A•
May 26, 2019
The course conveys a lot of well-structured content. The theoretical concepts are taught well by the videos, although some videos are a little bit too long.
Unfortunately, I was not able to do the practical assignments due to technical problems with the installation of the required development environment. I missed experiencing in practice what I have learnt in theory.
By vibhor n•
Jul 30, 2019
Heavily focused on formulas. I prefer courses which focus on basic concepts more.