Universiteit Leiden

nl en


LUCDH Workshop - An Introduction to Text Mining in the Humanities - Postponed!

Friday 27 March 2020
Cleveringaplaats 1
2311 BD Leiden
Lipsius 126

Studium Digitale: An Introduction to Text Mining in the Humanities

16 March update:
This workshop has been cancelled for March 27th. The workshop is now 'tentatively' postponed to September 25th. Those who have already registered and received confirmation of their place will have priority in attending on the new date.

Studium Digitale is a workshop series organised by the Leiden University Centre for Digital Humanities that provides introductory or advanced knowledge on digital tools that benefit humanities research. The upcoming workshop will explore tools for text mining and machine learning and is taught by Alex Brandsen (Leiden University, Faculty of Archaeology).
A lot of humanities research uses text data, and being able to automatically analyse these texts is often of great benefit. In this workshop, you will learn the basics of using machine learning for text mining, using the free tool RapidMiner. We will first inspect the data, clean the data, create a word cloud, and finally perform sentiment analysis on a collection of Tweets.
Please note that for the sentiment analysis (part 1), you will need to bring your own laptop. If possible, please install RapidMiner before the workshop (choose the 30 day trial license).

A second (optional) part of the workshop is to work with Python and Jupyter notebook to perform distant reading of English children's literature 1789-1914 for the representation of insects and other creepy crawlies. 
Both parts are aimed at beginners, and we assume you have no previous knowledge of coding or machine learning.

The workshop takes place in Lipsius 1.26 on Friday, March 27  from 13:00-17:00. Followed by Drinks at ‘t Pakhuys (Doelensteeg 8).

The maximum number of participants 20, and places fill quickly. Please register by sending an email to lucdh@hum.leidenuniv.nl. You will receive confirmation of your place (or a place on the waiting list.)

This website uses cookies.  More information.