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Отзывы учащихся о курсе Hands-on Text Mining and Analytics от партнера Университет Ёнсе

Оценки: 40

О курсе

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....

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1–9 из 9 отзывов о курсе Hands-on Text Mining and Analytics

автор: Almudena A C

25 авг. 2018 г.

The course is interesting and you learn things.

The problem is that the code for the practices is incomplete, non actualized and some functions of the API didn't return anything.

Plus if you need help and you write in the forum, nobody of the staff team helps you out. Only some other alumns and the last responses are form 6 mothns ago.

автор: Razan M

2 июня 2017 г.

The presentation slides are not available for downloading and I did not like the evaluation method. Good if you want to do text mining with Java and to know the libraries available for this.

автор: Luis Z

18 мая 2020 г.

Highly interesting and the content is super promising. The instructor teaches the content quite well.

However - installation of the required yTextMiner library is huge (1 GB of data to install!)

Additionally, the software is buggy and resolving these bugs gets in the way of actually completing course assignments.

автор: Abhishek V

22 апр. 2017 г.

The instructor in the course is very bad. The knowledge dissemination is also cursory. You might get familiar with few concepts but this is not an in-depth course on this subject.

автор: Jake M

17 февр. 2019 г.

Does not explain how to download Workstation properly

автор: Korkrid A

31 мая 2017 г.

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.

автор: el k W

5 мая 2017 г.

Excellent course !!

автор: Alexander A S G

5 июня 2017 г.


автор: Dr. M H A J

26 янв. 2018 г.

Great & Hot Topic.