Chevron Left
返回到 文本挖掘和分析

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

683 個評分


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.


126 - 文本挖掘和分析 的 142 個評論(共 142 個)

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.

創建者 Ankur B


Little outdated but still clears the basics.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

創建者 Manav


this course is useful if you take further courses too

創建者 Quintus L


Great theoretical introduction, but not hands-on.

創建者 Alexander S


Course was ok. Some slides have mistakes in it.

創建者 Leonardo P


Hot topic but a obsolete material.

創建者 Michael T


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.

創建者 Vivian Y Q


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

創建者 Peter


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

創建者 Gayatri V


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

創建者 Eugenio L C


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

創建者 Shubham K


Couldnt understand a word of what the instructor said



No wayb