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Yonsei University

Hands-on Text Mining and Analytics

This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.

Status: Unsupervised Learning
Status: Machine Learning Methods
IntermediateCourse14 hours

Featured reviews

KA

5.0Reviewed May 30, 2017

Excellent theory and hands-on lab codes. It'd be great if you could also cover how-to in other relevant programming languages using R or Python.

All reviews

Showing: 9 of 9

Almudena Anguita Clavería
2.0
Reviewed Aug 25, 2018
Razan Masood
2.0
Reviewed Jun 2, 2017
Luis Zugasti
1.0
Reviewed May 18, 2020
Abhishek Vaid
1.0
Reviewed Apr 22, 2017
Jake Mann
1.0
Reviewed Feb 17, 2019
Korkrid Akepanidtaworn
5.0
Reviewed May 31, 2017
el khedhri Wassim
5.0
Reviewed May 5, 2017
Alexander Agung Santoso Gunawan
5.0
Reviewed Jun 5, 2017
Dr. Mohammed Hassan A. Jawad
3.0
Reviewed Jan 26, 2018