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Voltar para Mineração de Texto e Análise Estatística

Comentários e feedback de alunos de Mineração de Texto e Análise Estatística da instituição Universidade de Illinois em Urbana-ChampaignUniversidade de Illinois em Urbana-Champaign

4.5
estrelas
682 classificações
142 avaliações

Sobre o curso

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....

Melhores avaliações

JH

9 de fev de 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

24 de mar de 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.

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126 — 142 de 142 Avaliações para o Mineração de Texto e Análise Estatística

por Martin B

26 de set de 2020

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.

por Alexandr S

11 de jul de 2019

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

por Kaniska M

5 de set de 2016

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

por Gnaneshwar G

10 de fev de 2018

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

por Tali L

22 de mar de 2020

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

por Ankur B

8 de mai de 2019

Little outdated but still clears the basics.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

por Manav

5 de set de 2017

this course is useful if you take further courses too

por Quintus L

6 de nov de 2019

Great theoretical introduction, but not hands-on.

por Alexander S

16 de dez de 2019

Course was ok. Some slides have mistakes in it.

por Leonardo P

25 de jun de 2020

Hot topic but a obsolete material.

por Michael T

22 de set de 2016

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.

por Vivian Y Q

11 de ago de 2017

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

por Peter

9 de set de 2016

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

por gayatri

12 de dez de 2016

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

por Eugenio L C

22 de set de 2017

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

por Shubham K

10 de jun de 2019

Couldnt understand a word of what the instructor said

por HARSHWARDHAN I

13 de jun de 2020

No wayb