学生对 University of Illinois Urbana-Champaign 提供的 Text Mining and Analytics 的评价和反馈
课程概述
热门审阅
DC
Mar 24, 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.
JS
Jun 6, 2017
The content was very useful, and the preparation of the course denoted much care and preparation by the teacher. I would love to see some modern topics like word embeddings covered in the course!
26 - Text Mining and Analytics 的 50 个评论(共 148 个)
创建者 Logan V
•Jul 27, 2020
Well taught course, would have preferred if went further into topics like opinion mining (even if we had optional lectures or assignments). However, definitely a fun course to learn a lot.
创建者 Rose C
•Jun 25, 2017
very theoretical. very insightful too. finally got a glimpse how the features that I took for granted took shape ... thanks to the instructor, I love the textbook as well ~
创建者 George P
•Nov 1, 2017
Outstanding mix of theory and practical applications to help understand the theory. Well organized and excellent presentations. Thank you!
创建者 Godwin I
•Aug 27, 2016
Excellent Module!
A most know & understand unit for all students of Data Science. Enjoyed every aspect of the learning .. Good teaching !!!
创建者 Yaoyao D
•Feb 11, 2019
It is rare to find an online course that explains the statistics and intuition behind text mining and machine learning algorithm!
创建者 Amar J
•Jul 15, 2019
This course teaches you the very nitty-gritty details of text mining. It has been an enriching experience for me in this course.
创建者 Ruben D S P
•May 27, 2019
great clases about text mining, this is really important becuase many people required this type of data analysis all of the time
创建者 Yu Z
•Oct 27, 2020
A very good course that perfectly articulates the underlying mathematical principles for all perspectives of text mining.
创建者 Michael B
•Mar 11, 2022
Very difficult, especially when it comes to logic and using math equations. You'll have a lot to learn from this course.
创建者 YASH L
•Apr 11, 2019
The course was very challenging and i learn a lot of new things from the course, this will help to complete my project.
创建者 mohan r
•Jul 23, 2017
The workflow is clear and the professor speaks to the students directly about all aspects without skimming the material.
创建者 Selva P
•Jun 21, 2017
My favorite course and my favorite instructor. Highly informative. I wish i want to be a real student of the instructor.
创建者 Douglas O
•Dec 3, 2022
Prof. Zhai's textbook is well-worth the added investment. His Coursera lectures helped me to "read between the lines."
创建者 Rishi S .
•Dec 28, 2020
Practical stuff were lacking in python rest the content was excellent. love the way the instructor taught the content
创建者 Ch N
•Sep 11, 2017
Good course, but if combined with weekly assignments in python and R it would be even better than any other course.
创建者 Zhao Q
•Oct 21, 2016
Very comprehensive introduction to text mining. It serves well as a First Class to text mining and analytics!
创建者 Yugandhar D
•Jan 1, 2019
Excellent course the provides comprehensive knowledge on Text Mining and Ananlytics in all its dimensions.
创建者 Thaumaturge I
•May 4, 2020
Excellent Course, but it may becoming a little dated given that most of the references are pre c2010.
创建者 Hai Q P
•Aug 8, 2019
The course helps me delve deeper into my research. Very helpful for researchers in graduate schools!
创建者 Uday A
•Jul 30, 2018
i have completed the course but didnt receive certificate and there is no option for id verification
创建者 Eduardo D S
•May 28, 2017
Useful as introductory course on NLP. Recommended for anyone who wants to begin on this discipline.
创建者 Matt C
•Dec 6, 2017
Excellent course, have to really listen to the instructor but course information is excellent!
创建者 Haozhe ( X
•Jun 14, 2020
Great intermediate course for text mining. Leant a lot about corresponding method and series
创建者 Steven Z
•Apr 5, 2017
While I did not do the assignments. The videos and explanations included were top notch!
创建者 김용덕
•Jul 27, 2017
useful to make a big picture for text-mining and to learn several practical approaches.