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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

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


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.


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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101 — 125 de 142 Avaliações para o Mineração de Texto e Análise Estatística

por Alex D T

22 de jul de 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.

por Akarapat C

11 de fev de 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.

por Watana P

22 de ago de 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.

por Aravindh

19 de abr de 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

por Ian W

10 de ago de 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.

por Cihan T

5 de nov de 2020

Nice course for the people who want to acquire knowledge about mostly the theoretical part of certain NLP methods.

por Darren

23 de ago de 2017

Hope the speaker can slow down sometimes.

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

por Hernan V

29 de set de 2017

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

por Siwei Y

27 de mar de 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。

por Ryan L

27 de jul de 2018

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

por Shubhra V

21 de jul de 2020

Very detailed course. Helps in gaining complete understanding of text mining

por Kim C

23 de jul de 2017

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

por Tanan K

12 de ago de 2017

Very complicated but useful for a deeper understanding of text mining

por Jan-Henk P

6 de jun de 2020

More examples/questions during the course in using the formulas

por Shaima S

27 de jul de 2016

Very detailed, but taught in an easily understandable manner.

por Rahul M

7 de fev de 2018

ok ish course. Not highly recommended, but seems fine

por Rohit C

8 de abr de 2020

Text Material is good and much more informative.

por Norvin C

10 de out de 2017

Generally quite clear explanations

por Amir Z

1 de set de 2016

Good survey of techniques

por Savindu V K

27 de jul de 2020

Really good course.

por To P H

6 de mai de 2019

Very dense content

por Guillermo C F

16 de out de 2017

Very good course!!

por Hyun J L

29 de nov de 2017

Was Quite Helpful


18 de mar de 2021

great course

por Rahila T

15 de nov de 2018