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Text Retrieval and Search Engines(으)로 돌아가기

일리노이대학교 어버너-섐페인캠퍼스의 Text Retrieval and Search Engines 학습자 리뷰 및 피드백

799개의 평가
175개의 리뷰

강좌 소개

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....

최상위 리뷰

2016년 9월 20일

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.

2020년 12월 28일

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.

필터링 기준:

Text Retrieval and Search Engines의 173개 리뷰 중 76~100

교육 기관: Divya A

2020년 9월 28일

Smoothly 👌

교육 기관: wenning h

2018년 2월 23일


교육 기관: RISHABH T

2017년 12월 18일

Good Course

교육 기관: Christopher Z

2017년 8월 26일


교육 기관: Ritik P

2019년 12월 17일


교육 기관: Kamlesh C

2020년 7월 30일

Thank you

교육 기관: Dr. M S

2020년 6월 26일

Very good

교육 기관: Ramakrishnan C

2019년 4월 13일

Good one

교육 기관: xianzhi w

2016년 7월 20일

like it.

교육 기관: Ruiwen W

2020년 8월 28일


교육 기관: Arefeh Y

2016년 11월 6일


교육 기관: Paulina A Q M

2016년 10월 11일


교육 기관: August F C

2016년 7월 7일


교육 기관: Rohit S

2021년 3월 14일


교육 기관: 2K17/CO/75 A P S

2020년 12월 17일


교육 기관: Dr J K P

2020년 5월 20일


교육 기관: R M

2020년 5월 7일


교육 기관: Vinobastalin . T

2019년 5월 9일


교육 기관: Miriyala S

2018년 4월 22일


교육 기관: Ian W

2018년 8월 2일

Good class, knowledge learned. Below are some problems I personally encountered.

* there are almost no explanations of the quiz/exam answers and some questions in quizzes did not match the course progress. However, before the final quiz, there is a small quiz in advance, you can do small quizzes for unlimited times and it resembles the final quizzes. Maybe the author designed this on purpose for the users to learn by trial and error?

Another way is finish courses of the next week, and then come back to finish the quiz of the previous week.

* some concepts require previous knowledge, otherwise you'll have to Google during the class.

* It might take some time to get used to the speaker's accent for non-English speakers.

* suggest that the instructor could use a touch screen or stylus to illustrate on screen.

* The honor missions are out-dated and requires a lot of de-bugging.

교육 기관: kefei m

2020년 10월 7일

The course provides a nice framework for the learners. The instructor is very knowledgeable and has covered a very wide range of information regarding text retrieval tasks.

Unfortunately, the lab design is not very good - a bit outdated, if not broken at all. I gave 4 stars because I really hope the course can improve that part.

Tips: The quiz is not necessarily easy, but easy to pass, if that's what you care about. However, the nitty-gritty of this course is better comprehended by implementing it on some tasks. That said, find some guide project and try it on, projects like toy recommendation system, toy search engine, etc.

교육 기관: GANG L

2017년 12월 21일

The class content layout is excellent, it gives an overall picture about text retrieve and search engine, also point out the direction of further learning. Professor Zhai teaches excellent too. In lecture, those simple examples help understanding the algorithm very well.

I just hope Professor Zhai can provide more wide or deep class on such topic.

The only drawback is the program assignment is not well maintained. Almost no staff answer questions.

교육 기관: Michael P

2020년 10월 21일

I'm withholding one star mainly because the MeTA programming assignments need to be rewritten. MeTA has undergone a major revision change since this course was created and much of the code provided by the instructors no longer works/compiles against MeTA. Judging from the forum discussions, many students are struggling to get the coding assignments working. Otherwise the lectures and the reading materials were good.

교육 기관: Eric Y

2017년 12월 11일

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.

교육 기관: Michael V

2016년 7월 15일

The course is interesting and you can learn a lot. The professor is very knowledgeable in the area of search engines. However the course goes very early into mathematical details without too much context. The programming assignments are great and I would focus more on them as they really show you how the engine works.