Chevron Left
返回到 文本挖掘和分析

學生對 伊利诺伊大学香槟分校 提供的 文本挖掘和分析 的評價和反饋

4.4
432 個評分
104 個審閱

課程概述

This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort. Detailed analysis of text data requires understanding of natural language text, which is known to be a difficult task for computers. However, a number of statistical approaches have been shown to work well for the "shallow" but robust analysis of text data for pattern finding and knowledge discovery. You will learn the basic concepts, principles, and major algorithms in text mining and their potential applications....

熱門審閱

JH

Feb 10, 2017

Excellent course, the pipeline they propose to help you understand text mining is quite helpful. It has an important introduction to the most key concepts and techniques for text mining and analytics.

DC

Mar 25, 2018

The content of Text Mining and Analytics is very comprehensive and deep. More practise about how formula works would be better. Quiz could be not tough to be completed after attending every lectures.

篩選依據:

51 - 文本挖掘和分析 的 75 個評論(共 103 個)

創建者 SOUFIANE B

Jan 20, 2017

Very interesting! Thank you prof.

創建者 Viacheslav D

Dec 01, 2016

Best NLP course that I saw.

創建者 YASH L

Apr 11, 2019

The course was very challenging and i learn a lot of new things from the course, this will help to complete my project.

創建者 Ruben D S P

May 27, 2019

great clases about text mining, this is really important becuase many people required this type of data analysis all of the time

創建者 Mrinal G

May 20, 2019

Nice

創建者 shaoming.xu

Jun 04, 2019

Excellent courses. Prof Zhai provide a lot of insight in this course!

創建者 Nazar K

Jul 26, 2019

Initially it was very complex and seemed very theoretical but it all comes together amazingly at the very end.

創建者 Hai Q P

Aug 09, 2019

The course helps me delve deeper into my research. Very helpful for researchers in graduate schools!

創建者 Yongduk K

Jul 28, 2017

useful to make a big picture for text-mining and to learn several practical approaches.

創建者 MItrajyoti K

Oct 24, 2019

Very good

創建者 George P

Nov 02, 2017

Outstanding mix of theory and practical applications to help understand the theory. Well organized and excellent presentations. Thank you!

創建者 Amar J

Jul 15, 2019

This course teaches you the very nitty-gritty details of text mining. It has been an enriching experience for me in this course.

創建者 Deepak S

Aug 11, 2016

E

創建者 Fakhre A

Jun 12, 2017

Outstanding course, I love the way of teaching

創建者 Cheng-shuo Y

Dec 11, 2017

It is a great course!

創建者 selvaperumal.p

Jun 21, 2017

My favorite course and my favorite instructor. Highly informative. I wish i want to be a real student of the instructor.

創建者 sushanta k m

Mar 22, 2017

Nice course and all the chapters are well explained.

創建者 Rahila T

Nov 15, 2018

Good

創建者 Ian W

Aug 10, 2018

In-depth description on the algorithms.

Personally I suggest finish the quiz of the nth week after finishing all the video of (n+1)th week.

創建者 Shaima M S

Jul 27, 2016

Very detailed, but taught in an easily understandable manner.

創建者 Norvin C

Oct 10, 2017

Generally quite clear explanations

創建者 Hernan V

Sep 29, 2017

Excellent course, but not a deep coverage of more complex text analysis algorithms

創建者 Amir Z

Sep 01, 2016

Good survey of techniques

創建者 Tanan K

Aug 12, 2017

Very complicated but useful for a deeper understanding of text mining

創建者 Gonzalo d l T A

May 10, 2017

A really interesting course which covers theoretically most of the text mining techniques. I missed having more practical exercise, which could help to deeply understand the lectures. Setting up the environment for the development task is a little bit complicated, it might be interesting to provide a virtual machine with all the software and correct versions required. Even though, I would recommend this course if you are interested on the topic.