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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
별점
3,681개의 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

CC

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!

JR

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 708개 리뷰 중 701~708

교육 기관: Feng Q

2019년 10월 4일

교육 기관: Mahmoud

2019년 4월 29일

교육 기관: Sandy F

2020년 4월 25일

교육 기관: Christopher S

2021년 4월 22일

교육 기관: Sourav P

2018년 12월 9일

교육 기관: Angertdev S

2019년 11월 7일

교육 기관: David P

2022년 2월 7일

교육 기관: Lawrence T

2021년 1월 23일