Chevron Left
Вернуться к Текстовый информационный поиск и поисковые системы

Отзывы учащихся о курсе Текстовый информационный поиск и поисковые системы от партнера Иллинойсский университет в Урбане-Шампейне

4.4
Оценки: 459
Рецензии: 103

О курсе

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....

Лучшие рецензии

JH

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.

PM

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)

Фильтр по:

1–25 из 101 отзывов о курсе Текстовый информационный поиск и поисковые системы

автор: Karl S

Jul 30, 2018

Although I was very enthusiastic at the beginning of this course, my enthusiasm was soon replaced by disappointment. There were several reasons for my disappointment: First, it is very difficult to understand Prof. ChengXiang Zhai. This is aggravated by the fact that the subtitles of his videos have not been edited and many of these subtitles do not really make any sense. Furthermore, some of the quizzes check on material that is only covered in the week after the quiz. Second, and more importantly, I was disappointed by the explanations offered by Prof. Zhai. Often, he just drops some technical terms without giving any explanation whatsoever. An example in point is his covering of the Kullback-Leibler divergence. He just dropped the name but did not offer any definition or explanation. Unfortunately, there were many more topics that were only covered in such a name dropping way. In the end, I bought myself the book by Stefan Büttcher and the book by Christopher Manning. These are excellent books that were also recommended by Prof. Zhai. For anybody interested in information retrieval I would actually recommend to go directly to these books instead of taking this course.

автор: Devender B

Feb 14, 2019

Literally this is a dead course. No one is active from course to assist students. You can't complete assignment 1 if you are not good with c++ and STL 'PERIOD'.

Giving up this course

автор: Ruben D S P

May 27, 2019

amazing classes

автор: 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.

автор: shaoming.xu

May 09, 2019

very good course! teach not only knowledge but also how to do research!

автор: Vinobastalin . T

May 09, 2019

good

автор: 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.

автор: To P H

May 03, 2019

Interesting content

However the prof/instructor should practice not pausing so much when explaining the concepts/contents

автор: Ramakrishnan C

Apr 13, 2019

Good one

автор: 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

автор: Ashish G

Apr 04, 2019

Sir is Amazing. Reviews saying this course lacks practicals are true. Fact is, you will be able to implement them on your own, as sir explained concepts pretty well. This is by far one of the best courses on coursera, comparable to Mr. Ng's course on ML and DL

автор: Lena H

Mar 11, 2019

help for building a whole picture about the field

автор: liz a

Feb 16, 2019

very hard to understand teacher

автор: Atsushi T

Jan 04, 2019

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

автор: 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.

автор: Bilguun B

Dec 11, 2018

One of the best courses I have taken on Coursera. Really liked how the quizzes were structured!

автор: Lee C L

Nov 21, 2018

Some mistakes in subtitle. and it is better to break down the long videos into smaller sections, illustrate the concepts with more graphs,picture and animation.

автор: Luong A T

Nov 21, 2018

It is a great course, highly recommended for those who wants to work in the AI

автор: Amrit S D

Sep 30, 2018

very very good

автор: 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.

автор: Rex O O

Aug 30, 2018

The most terrible specialization anyone would ever waste his or her time on! Sometimes i fell asleep lol

Time wasted.

автор: Yongyi Z

Aug 24, 2018

I'd appreciate Prof.Zhai's lesson design with robust framework. BUT I really can not accept that the mistake that homework putted in wrong week and STILL NOT FIXED AFTER TWO YEARS!

автор: KM R

Aug 24, 2018

Need indetail inputs on algorithm usage and correct MeTA assignments with working scripts. That makes learning a complete curve.

автор: Gustavo L A

Aug 19, 2018

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

автор: Sergei A

Aug 14, 2018

Usefull course with lack of support.