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學生對 密歇根大学 提供的 Applied Text Mining in Python 的評價和反饋

4.3
3,463 個評分
665 條評論

課程概述

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling). This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python....

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JR
2020年12月4日

Excellent course to get started with text mining and NLP with Python. The course goes over the most essential elements involved with dealing with free text. Definitely worth the time I spent on it.

CC
2017年8月26日

Quite challenging but also quite a sense of accomplishment when you finish the course. I learned a lot and think this was the course I preferred of the entire specialization. I highly recommend it!

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501 - Applied Text Mining in Python 的 525 個評論(共 656 個)

創建者 eon t

2020年5月7日

ambiguous, not very clear.

especially for the last course, the task could be difficult for novice

the course didn't present detailed explain for the code and sort of hard to follow

創建者 Sakina F

2018年4月15日

Very very long videos. Makes a person zone out. The videos need to be smaller in length as they become very hard to complete. However, the content is good and easy to understand.

創建者 Oscar F R P

2020年8月26日

Videos are too long and the lectures sometimes go too fast and shallow to grip on information for the assingments, though those can be very manageble consulting stackoverflow

創建者 Ashwani K

2021年4月14日

The previous three courses has really made my expectation quite high. This course was fine, however a more details of programming examples and tutorials were needed.

創建者 Reed R

2018年3月7日

Overall a good course and a nice introduction to Text Mining but issues with the autograder and some unclear instructions can make the assignments a little painful.

創建者 James S

2018年2月2日

Some good stuff here, but really drops in quality toward the end and became a real slog to finish. Shame, since the rest of the specialization has been outstanding.

創建者 Tracy S

2018年3月12日

assignments are ok although with some unclear issues. however, i think the last week tutorials can be richer and more informational. i love the week1-3 tutorials.

創建者 Kieran W

2018年2月21日

Overall good material. Not enough actual code examples at times, especially towards the end. The assignments weren't completely relevant and slightly buggy.

創建者 Juan M

2020年4月28日

Seems sort of unupdated, lacking enough applications for the student to really get a grasp of the contents. Lectures should explain theory more thoroughly

創建者 Saswati R

2018年7月8日

Some of the assignment problems, especially assignment 2 and 4, did not have clear instructions and hence were confusing. Otherwise, a good course.

創建者 Rafael C

2017年8月20日

The course materials were interesting, but there were also a lot of issues with the autograder. Hopefully they will be fixed for the next sessions.

創建者 Ali T

2018年12月23日

I learned some useful stuff in this course but I think it could be a little more deeper and teaching more behind theorems especially for week 4.

創建者 Maxim P

2018年10月12日

Good Lectures. But much to less introduction by real examples. Especially in the last lecture you need to add a Notebook. As guidency and recap.

創建者 Girija M

2018年7月1日

The subject is too vast to be covered in such small videos. Lot more details can be integrated. Great start for beginners to Text Mining though

創建者 Mateusz M

2019年2月6日

Some of the topics where elaborated very briefly. There was not enough practical examples and instructor was no clear in what he was saying.

創建者 Bernardo A

2017年8月19日

I liked the course, but it felt as a very raw overview, I think it could have been more challenging when it comes to the models explained.

創建者 Shakshi S

2020年8月4日

The course assignments were somewhat difficult and also there should be more explanation of topics that were covered in this course.

創建者 Alex W

2019年11月14日

Really poor instructions on week 4. Overall, was a great course that was a good intro to the text machine learning tools in Python.

創建者 Lu E

2018年8月30日

I don't think the lecture is very clear. Although I have finished the homework, I still feel a little confused about the concepts.

創建者 Panit A

2017年10月22日

Bad assignment. Grader not reliable. No control over the discussion board, many confusing comments mixed with good comments.

創建者 Vishal S

2018年7月16日

Lectures are good but the assignment of week1 and week 4 is a little bit absurd and unclarified. Autograder is too slow.

創建者 Nishal

2019年12月4日

The explanations weren't the best and pacing wasn't amazing, but some good ground covered and parts were interesting.

創建者 Amir-Sina H

2020年4月25日

This is a good informative course, yet superficial at times. Specially when it comes to fourth weeks' assignments

創建者 Thomas B

2018年4月22日

Some rather vague assignments instructions, some assignments require material only briefly mentioned in lectures

創建者 Devmallya B

2020年4月30日

It was not well designed. The explanations were not adequate. It was more theoretical with practical aspects.