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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
3,457 個評分
663 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....

熱門審閱

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!

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.

篩選依據:

376 - Applied Text Mining in Python 的 400 個評論(共 654 個)

創建者 CaitlinYao

2019年2月17日

The assignments are much harder than the slides, which means much more self-learning is required.

創建者 Anubhav M

2019年12月20日

I will give it a 4 star because of the assignments. The lectures were good but were a bit short.

創建者 Cong V C

2018年11月9日

The assignments are a little hard and have some errors, but the overall explanation is awesome.

創建者 Yubin L

2020年2月24日

It's really good but I feel we may want to expand to 8 weeks so that each topic can go deeper.

創建者 OSCAR J P F

2020年10月18日

The last week doesn't have laboratorio only was work autonomous for solving the assignment.

創建者 Sangeeth S

2020年9月4日

Good course. I felt this course could have been better. Special thanks to my instructors.

創建者 Zihao H

2018年3月18日

The final assignment is not well worded, and answer for the autograder is too strict.

創建者 Daniel J

2019年8月7日

It is quite a dense topic, however the instructor manages to make it much simpler.

創建者 lohith p

2018年8月22日

Good Material for the people who wants to start NLP. Thanks a lot for the material

創建者 Kunal c

2017年8月10日

There were certain issues with the autograder. But the course content was good

創建者 Marinko K

2020年6月26日

IF you want to learn text mining this is the best place for your first step

創建者 Jay G

2020年3月15日

Thank you for this amazing course on Natural Language Processing using NLTK

創建者 Saurabh D

2020年5月24日

Almost excellent. Would have given 5 if LDA was dealt with in more indepth

創建者 Aleksey B

2018年3月8日

Some assignments were very ambigues - namely part One of final assignment.

創建者 Talha I

2020年1月12日

An excellent course for beginners to enter the text mining practically.

創建者 Shashidhar s

2019年6月28日

Ultimate course for any one to start with on Data Science using Python.

創建者 Jesús P

2018年1月17日

Hard course, good concepts but needs more visualization of the concepts

創建者 Nicolas B

2017年8月26日

Great course, could improve the last week with more practical examples.

創建者 Dinesh D

2017年12月14日

Course material was good but week 4 assignment set up is a disaster.

創建者 Juan N R A

2020年8月23日

Nice Course, although i prefer the courses 1 and 3. were indredible

創建者 Roberto L L

2019年3月1日

This an excellent course to open a door for NLP, an exciting topic.

創建者 Abe G V T S

2017年10月5日

The class was great. However the assignments had a lot of problems.

創建者 CHITRESH K

2019年4月29日

Nice introductory course to NLP , give an insight into the topic .

創建者 Samuel O

2019年5月15日

Nice, but first assignment shouldn't be considered here I think

創建者 Rajat B

2018年8月24日

The frequent and well thought out exercises are very helpful