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Applied Text Mining in Python(으)로 돌아가기

미시건 대학교의 Applied Text Mining in Python 학습자 리뷰 및 피드백

4.2
2,390개의 평가
454개의 리뷰

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

GK

May 04, 2019

Lectures are very good with a perfect explanation. More than lectures I liked the assignment questions. They are worth doing. You will get to know the basic foundation of text mining. :-)

CB

Sep 20, 2017

Excellent course! Video lectures are high quality, with realistic problems and applications. Exercises are reasonably challenging, and all quite fun to do! Strongly recommend this course

필터링 기준:

Applied Text Mining in Python의 447개 리뷰 중 251~275

교육 기관: Daniel J

Aug 07, 2019

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

교육 기관: lohith p

Aug 22, 2018

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

교육 기관: Kunal c

Aug 10, 2017

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

교육 기관: Jay G

Mar 15, 2020

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

교육 기관: Aleksey B

Mar 08, 2018

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

교육 기관: Talha I

Jan 12, 2020

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

교육 기관: Shashidhar s

Jun 28, 2019

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

교육 기관: Jesús P S

Jan 17, 2018

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

교육 기관: Nicolas B

Aug 26, 2017

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

교육 기관: Dinesh D

Dec 15, 2017

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

교육 기관: Roberto L L

Mar 01, 2019

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

교육 기관: Abe G V T S

Oct 05, 2017

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

교육 기관: CHITRESH K

Apr 29, 2019

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

교육 기관: Samuel O

May 16, 2019

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

교육 기관: Rajat B

Aug 24, 2018

The frequent and well thought out exercises are very helpful

교육 기관: Manuela D

Aug 08, 2019

Well thought, very basic level, but a good starting point.

교육 기관: QY L

Mar 17, 2020

A very practical course. Excellent pragramming exercise.

교육 기관: Raghavendra N

Jan 31, 2020

Good one, bring in more industry relevance in the course

교육 기관: S S

Nov 29, 2019

Good course, but not up to date in current scenario

교육 기관: Ahmad H S

Aug 14, 2019

the course is good, but more practices is required

교육 기관: Rajendra S

May 09, 2019

Good course. But, I was expecting more depth.

교육 기관: Michael M

Mar 22, 2019

Great course. Auto graders have some issues.

교육 기관: Carl W

May 18, 2019

Took me into different areas. Interesting.

교육 기관: Iurii S

Feb 10, 2018

overall a goods intro into text analysis

교육 기관: Saber D

Jan 17, 2018

Very useful course to text mining.