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Text Mining and Analytics に戻る

イリノイ大学アーバナ・シャンペーン校(University of Illinois at Urbana-Champaign) による Text Mining and Analytics の受講者のレビューおよびフィードバック

4.5
683件の評価

コースについて

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....

人気のレビュー

JH

2017年2月9日

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

2018年3月24日

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.

フィルター:

Text Mining and Analytics: 126 - 142 / 142 レビュー

by Martin B

2020年9月26日

This course is a mixed bag. The instructor is precise and to the point. It covers quite a few techniques that are usually not covered in other machine learning courses and offers good suggestions for additional reading to get into specific technical details. There are however two main drawbacks. First: there is only a single optional programming assigment in C++. Learning materials like these is often more thorough with programming assignments attached to them, which is the case in all of the best courses in the field of Machine Learning or Data Science. Second: the instructor's English is not great. This makes the course difficult to follow sometimes, especially since the automatically generated subtitles tend to be VERY bad and occasionally misleading.

by Alexandr S

2019年7月11日

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

by Kaniska M

2016年9月5日

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

by Gnaneshwar G

2018年2月10日

Its was alright. The author must try different approach or explain a bit more about the mathematical equations

by Tali L

2020年3月22日

Awesome content. However, the lectures were slow and many were longer than I thought they needed to be.

by Ankur B

2019年5月8日

Little outdated but still clears the basics. More theoretical and less programming based

by Manav

2017年9月5日

this course is useful if you take further courses too

by Quintus L

2019年11月6日

Great theoretical introduction, but not hands-on.

by Alexander S

2019年12月16日

Course was ok. Some slides have mistakes in it.

by Leonardo P

2020年6月25日

Hot topic but a obsolete material.

by Michael T

2016年9月22日

Forums were poorly organized and not well participated in.

There was no forum topic for the honors assignment.

Honors assignment appeared to require unix, which was not stated in the course requirements.

Honors assignment was due too early in the term.

by Vivian Y Q

2017年8月11日

it is really dry. Not hands on at all. Not everyone knows c, would appreciate more approachable hands on experience

by Peter

2016年9月9日

Too much theory, not enough practical exercises and too few examples of how the algorithms work.

by Gayatri V

2016年12月12日

Could not understand many of the mathematical formulae involved. The topic coverage was good.

by Eugenio L C

2017年9月22日

While interesting, the videos are too long, and few practical

by Shubham K

2019年6月10日

Couldnt understand a word of what the instructor said

by HARSHWARDHAN I

2020年6月13日

No wayb