Chevron Left
Back to Text Retrieval and Search Engines

Learner Reviews & Feedback for Text Retrieval and Search Engines by University of Illinois at Urbana-Champaign

4.5
stars
897 ratings
186 reviews

About the Course

Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people’s opinions and preferences, in addition to many other kinds of knowledge that we encode in text. This course will cover search engine technologies, which play an important role in any data mining applications involving text data for two reasons. First, while the raw data may be large for any particular problem, it is often a relatively small subset of the data that are relevant, and a search engine is an essential tool for quickly discovering a small subset of relevant text data in a large text collection. Second, search engines are needed to help analysts interpret any patterns discovered in the data by allowing them to examine the relevant original text data to make sense of any discovered pattern. You will learn the basic concepts, principles, and the major techniques in text retrieval, which is the underlying science of search engines....

Top reviews

JH

Sep 20, 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.

MS

Dec 28, 2020

Great introductory course. It has opened my eyes to new challenges that face information retrieval. DON"T TAKE THIS COURSE IF YOU WANT TO LEARN elasticsearch.

Filter by:

126 - 150 of 185 Reviews for Text Retrieval and Search Engines

By Aayush G

Oct 15, 2019

Course was well taught the instructor's explanation of the topics was very comprehensive. Overall satisfied with the experience

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 Sawal M

Apr 18, 2017

More programming assignments would have helped understanding the topics covered in the course better.

By Gustavo L

Aug 19, 2018

Great at theory and concept explanation... but just few examples and zero programming applications.

By Alaa H S

Feb 25, 2020

this course has a lot of ideas but I think these principles need some code for implementing

By Ifeanyi-Chukwu O

Sep 9, 2020

Interesting and Informative module. The only setback was overlapping of weekly content

By ATSUSHI T

Jan 4, 2019

Some quizes were from different weeks. Forum questions are often left unsolved.

By Gilles H

Oct 24, 2016

This course is really great but the programming assignments need to be updated.

By L T N

Aug 30, 2017

very great course but , the programing language was C++ intead of Python :(

By Sheng-Qi S

Jul 18, 2017

Good with concepts.

Some problems about program assignments and quiz.

By OLEG M

Jun 11, 2017

I wish it was a bit more concrete course with practical examples.

By Shrishty C

Aug 14, 2017

Content is very good. Huge bugs in subtitles though.

By Darren

Aug 6, 2017

Very Informative, hope to give more examples

By Zaid O

Sep 9, 2019

it's theoretical rather than practical

By Sergei A

Aug 14, 2018

Usefull course with lack of support.

By Amir Z

Sep 1, 2016

Good survey of techniques

By Savindu V K

Jul 27, 2020

Thanks for this course.

By Shubhra V

Jul 5, 2020

Nicely explained

By AMAN K M

Apr 30, 2020

Good Experience.

By Hyun J L

Nov 29, 2017

Was interesting

By SHREECHARANA K S C U

Dec 26, 2021

Good

By Momen m

Jun 13, 2021

good

By Kaumil A

Feb 1, 2021

Good

By Deepak S

Aug 11, 2016

G

By Paul N

Jun 8, 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