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 Hyun J L•
Nov 30, 2017
By Deepak S•
Aug 11, 2016
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 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.
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 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 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 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 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 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 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 Taha M M•
May 12, 2020
The course topic is very interesting but i found some difficulties to follow up some lectures. I had a concern alson on quizzes; some of them is not related to the current week.
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 Sarath K A•
Jun 26, 2020
Concepts are not much clear. I think the equations should be explained with some real life problems and not just general idea.
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 Theo G•
Dec 10, 2016
Interessant, but it wasn't organized too well. Some questions referred to topics which came in the next lesson
By vibhor n•
Jul 30, 2019
Heavily focused on formulas. I prefer courses which focus on basic concepts more.
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 Xiaolong Z•
Jan 16, 2020
The assignment have all sort of issues.
By liz a•
Feb 16, 2019
very hard to understand teacher
By Elio X R C•
May 19, 2018
I expected more exercises
Jun 29, 2020
This course covers text retrieval well. The topics are well chosen and the lectures are excellent.
However, there are small content issues that need to be addressed. This course has now been out for ~4 years, so they will likely never be addressed: 1) The smaller issue is that quizes are not written correctly to follow the lecture material. Various quiz questions come from material that's covered later in the course. 2) The larger issue is that the programming assignment is broken in many, many ways. In order to pass, you may need to read a large number of forum posts .. and hope that someone with your operating system and version has already solved the error. Further, some tasks even when completed correctly will not be accepted; it will be very frustrating trying to "trick" the online grader into accepting your correct answer.
If you want to learn the material and are prepared to deal with the problems that I mentioned, I would recommend this course.
By James M•
May 25, 2016
The material is compelling and the lecturer is engaging, but the course is not well prepared. The assessments are not relevant to the material covered and there are no collateral materials (e.g., downloadable slides/handouts) available to assist in learning.
By jbene m•
Jul 04, 2020