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일리노이대학교 어버너-섐페인캠퍼스의 Text Mining and Analytics 학습자 리뷰 및 피드백

4.5
별점
490개의 평가
113개의 리뷰

강좌 소개

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....

최상위 리뷰

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.

필터링 기준:

Text Mining and Analytics의 112개 리뷰 중 76~100

교육 기관: Arkadiusz R

Jul 09, 2017

Very good course with a lot of essential information about problems correlated with text understanding. It give me general look for text mining topic. Some lectures give only overall information about text analysis problem, but it still gives me an opportunity to learn about these listed topics to resolve relevant problems. I recommend this course anyone!

교육 기관: fakhriabbas

Oct 02, 2016

the course is very helpful in giving the overall flavor of text mining and analytics. I would recommend to reduce the number of math work and focus on the conceptual level along with more application that could be used. For the math part, adding optional videos for more details about math will be very useful and helpful

교육 기관: Ahmed M S

Jan 12, 2020

This is an excellent foundational course about text mining. It provides a very solid theoretical foundations and concepts about the subject. The only thing that felt missing, is giving more numerical examples during the video sessions to ease understanding the formulas.

교육 기관: Alex D T

Jul 23, 2017

Professor Cheng has a deep knowledge of the subject and presents a diverse topic in a very condensed set of courses. Material is well presented, but some of the quizzes and slides need to be better organized.

교육 기관: Akarapat C

Feb 12, 2017

This is a very good course. I think it provides a very good foundation of text mining and analytics like PLSA and LDA. More advanced research discussed in the last lecture is also very interesting.

교육 기관: Watana P

Aug 23, 2017

Most of the lessons are mathematical formulae in which, in my opinion, I need more real case study/practice to make myself clearly understand on how do those formulae perform.

교육 기관: Aravindh

Apr 19, 2017

The content is really good but the course has too much theory. Mixing it with some practical programming assignments would have been very nice

교육 기관: 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.

교육 기관: Darren

Aug 23, 2017

Hope the speaker can slow down sometimes.

It will be more helpful if give more real-world examples

교육 기관: Hernan V

Sep 29, 2017

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

교육 기관: Siwei Y

Mar 27, 2017

老师选择的课题非常丰富 , 讲解的逻辑脉络也非常清晰, 这是许多所谓的大牛教授所无法做到的 。

只是不知道为何, 论坛太过冷清, 里面似乎也没什么 人负责解答问题。

교육 기관: Ryan L

Jul 27, 2018

Lots of great topics are covered. Would like to see more hands on exercises.

교육 기관: Kim C

Jul 23, 2017

Full of intuitions about text mining. Hope I can absorb all those ideas soon

교육 기관: Tanan K

Aug 12, 2017

Very complicated but useful for a deeper understanding of text mining

교육 기관: Shaima M S

Jul 27, 2016

Very detailed, but taught in an easily understandable manner.

교육 기관: Rahul M

Feb 08, 2018

ok ish course. Not highly recommended, but seems fine

교육 기관: Rohit C

Apr 08, 2020

Text Material is good and much more informative.

교육 기관: Norvin C

Oct 10, 2017

Generally quite clear explanations

교육 기관: Amir Z

Sep 01, 2016

Good survey of techniques

교육 기관: To P H

May 07, 2019

Very dense content

교육 기관: Guillermo C F

Oct 16, 2017

Very good course!!

교육 기관: Hyun J L

Nov 30, 2017

Was Quite Helpful

교육 기관: Rahila T

Nov 15, 2018

Good

교육 기관: Alexandr S

Jul 11, 2019

The Professor has a difficulty with English pronunciation, so sometimes it is very hard to understand his speech.

교육 기관: Kaniska M

Sep 06, 2016

The coding assignment instructions are near impossible to follow. The lecture is monotonous in the later weeks.