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Applied Text Mining in Python(으)로 돌아가기

미시건 대학교의 Applied Text Mining in Python 학습자 리뷰 및 피드백

3,656개의 평가

강좌 소개

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....

최상위 리뷰


2017년 8월 26일

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!


2020년 12월 4일

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.

필터링 기준:

Applied Text Mining in Python의 705개 리뷰 중 151~175

교육 기관: Simon

2017년 12월 24일

If you want to challenge this course and learn a lot, HIGHLY RECOMMENDED!!!

교육 기관: Sébastien M

2017년 8월 21일

Very good course, a lot of articles (most optional) but really interesting

교육 기관: Nikita D

2020년 8월 21일

the course is very good!

I highly recommend you to enroll and complete it

교육 기관: phaneendrababu g

2019년 3월 8일

Understood Machine Learning as well. Nice topics and clear explanation.

교육 기관: NITISH R

2018년 9월 24일

Wonderful course for starting Text Analytics and practicing the concept

교육 기관: Aneek A

2017년 11월 6일

Covers a lot of things in breath, but it could have been a bit longer!!

교육 기관: David T

2020년 11월 28일

It was a pretty good class as an intro to Natural Language Processing.

교육 기관: Sean D

2019년 6월 20일

This was a good course. Far superior to their machine learning course.

교육 기관: Cristian C J M

2020년 12월 21일

Its a hard course,maybe the last assigment wasn't as clear as i like.

교육 기관: Charles L

2019년 2월 4일

This course was outstanding - excellent lectures, notes and examples!

교육 기관: 谢仑辰

2018년 3월 9일

Great course! I learned the basic concepts and skills of text mining.

교육 기관: xinyi m

2021년 1월 15일

I like this course the best among all courses in this specification.

교육 기관: aviyan k

2020년 5월 19일

Instructor was very good in explaining and understanding the topics.

교육 기관: Atilio T

2020년 3월 9일

Excellent course as an introduction to text processing using Python.

교육 기관: Jan P

2018년 7월 24일

Nice course - but I found the assignment of week 1 a little to hard

교육 기관: Haozhe ( X

2020년 11월 10일

Awesome course. That's what it matters for data science enthusiast

교육 기관: Dr S K

2019년 1월 8일

Interesting course, nicely delivered with a lot of key information

교육 기관: Tatek E

2020년 3월 23일

Excellent presentation, exercise and reading materials. Thank you

교육 기관: AASHIMA B

2019년 5월 7일

Got to learn a lot. Would recommend it to others for text mining.

교육 기관: UJJAWAL S

2020년 8월 16일

The best course to learn applied text mining and basics of NLP

교육 기관: Ariana L

2020년 5월 4일

The course is very helpful and the instruction is really good!

교육 기관: Amir K

2021년 1월 14일

Content is very well managed , self explanatory and relevant.

교육 기관: Vinit K

2020년 5월 13일

Great learning experience! Nice lectures and assignments.....

교육 기관: Wai Y P S

2021년 6월 22일

Thanks you so much University of Michigan for Great course

교육 기관: Jun W

2018년 8월 12일

V. G. is a good instructor. His course is very interesting.