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Text Retrieval and Search Engines, University of Illinois at Urbana-Champaign

4.4
456 Bewertungen
101 Bewertungen

Über diesen Kurs

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-Bewertungen

von 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.

von 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)

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99 Bewertungen

von shaoming.xu

May 09, 2019

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

von Vinobastalin . T

May 09, 2019

good

von Vadim Permakoff

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.

von To Phung Huy

May 03, 2019

Interesting content

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

von Ramakrishnan C

Apr 13, 2019

Good one

von Chen Qiu

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

von Ashish Gupta

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

von Lena Hu

Mar 11, 2019

help for building a whole picture about the field

von liz arnold

Feb 16, 2019

very hard to understand teacher

von Devender Bejju

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