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學生對 伊利诺伊大学香槟分校 提供的 文本挖掘和分析 的評價和反饋

624 個評分
137 條評論


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....



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.


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.


101 - 文本挖掘和分析 的 125 個評論(共 137 個)

創建者 Ian W


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.

創建者 Cihan T


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

創建者 Darren


Hope the speaker can slow down sometimes.

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

創建者 Hernan V


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

創建者 Siwei Y


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。

創建者 Ryan L


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

創建者 Shubhra V


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

創建者 Kim C


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

創建者 Tanan K


Very complicated but useful for a deeper understanding of text mining

創建者 Jan-Henk P


More examples/questions during the course in using the formulas

創建者 Shaima M S


Very detailed, but taught in an easily understandable manner.

創建者 Rahul M


ok ish course. Not highly recommended, but seems fine

創建者 Rohit C


Text Material is good and much more informative.

創建者 Norvin C


Generally quite clear explanations

創建者 Amir Z


Good survey of techniques

創建者 Savindu V K


Really good course.

創建者 To P H


Very dense content

創建者 Guillermo C F


Very good course!!

創建者 Hyun J L


Was Quite Helpful

創建者 Rahila T



創建者 Martin B


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.

創建者 Alexandr S


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

創建者 Kaniska M


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

創建者 Gnaneshwar G


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

創建者 Tali L


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