Retour à Applied Text Mining in Python
Avis et commentaires pour d'étudiants pour Applied Text Mining in Python par Université du Michigan
3,655 évaluations
À propos du cours
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.
Meilleurs avis
JR
4 déc. 2020
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.
CC
26 août 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!
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701 - 705 sur 705 Avis pour Applied Text Mining in Python
par Christopher S
•22 avr. 2021
Horrible, I lost motivation
par Sourav P
•9 déc. 2018
I was not satisfied
par Angertdev S
•7 nov. 2019
broken assignments
par David P
•7 févr. 2022
Obsolete course
par Lawrence T
•23 janv. 2021
Horrible!
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