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Applied Text Mining in Python, University of Michigan

4.2
1,312 个评分
249 个审阅

课程信息

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....

热门审阅

创建者 CC

Aug 27, 2017

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!

创建者 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

筛选依据:

244 个审阅

创建者 Utkarsh Tripathi

Dec 18, 2018

NA

创建者 Aya

Dec 17, 2018

This instructor was great! His slides and explanations were much easier to follow than the other course instructors in the specialization.

创建者 Stephane Cormier

Dec 09, 2018

Week3 and 4. Too much of strange bugs with the auto grader. Not enougth examples...

创建者 Sourav Pal

Dec 09, 2018

I was not satisfied

创建者 Saichand Duggirala

Dec 03, 2018

Very clear and nice explanations.

创建者 Yeifer Rodríguez Cairo

Nov 25, 2018

Is difficult, but good.

创建者 Léa Fanchon

Nov 25, 2018

Amazing teacher.

创建者 Bart T Cubrich

Nov 21, 2018

Really great course. Love the instructor. Hard, almost too hard for me, but very useful and applied.

创建者 Craig A Benson

Nov 19, 2018

You do more work learning on your own to be able to do the projects and quizes then is given in the lectures. These University of Michigan classes aren't very balanced in terms of lectures, reading, and difficulty of projects.

创建者 pavan balaji

Nov 19, 2018

good training