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Вернуться к Анализ текстовой информации и аналитика

Отзывы учащихся о курсе Анализ текстовой информации и аналитика от партнера Иллинойсский университет в Урбане-Шампейне

Оценки: 667
Рецензии: 141

О курсе

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....

Лучшие рецензии

9 февр. 2017 г.

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.

24 мар. 2018 г.

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.

Фильтр по:

126–140 из 140 отзывов о курсе Анализ текстовой информации и аналитика

автор: Kaniska M

5 сент. 2016 г.

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

автор: Gnaneshwar G

10 февр. 2018 г.

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

автор: Tali L

22 мар. 2020 г.

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

автор: Ankur B

8 мая 2019 г.

Little outdated but still clears the basics.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

автор: Manav

5 сент. 2017 г.

this course is useful if you take further courses too

автор: Quintus L

6 нояб. 2019 г.

Great theoretical introduction, but not hands-on.

автор: Alexander S

16 дек. 2019 г.

Course was ok. Some slides have mistakes in it.

автор: Leonardo P

25 июня 2020 г.

Hot topic but a obsolete material.

автор: Michael T

22 сент. 2016 г.

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.

автор: Vivian Y Q

11 авг. 2017 г.

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

автор: Peter

9 сент. 2016 г.

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

автор: Gayatri V

12 дек. 2016 г.

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

автор: Eugenio L C

22 сент. 2017 г.

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

автор: Shubham K

10 июня 2019 г.

Couldnt understand a word of what the instructor said


13 июня 2020 г.

No wayb