Getting useful information from mountains of text
Spam filters, analyzing Twitter feeds, finding patterns in ancient documents… Text Mining is the process of obtaining meaningful information from text. It involves deriving patterns and trends, e.g. by means of statistical learning and other practices. In our next Statistics Café several scientists will tell you all about their applications of text mining!
Where: Bar Beton, Central Station hall 9, Utrecht.
When: May 16, 2018.
Doors open: 19:00
Start of program: 19:30
End : 22:30
Sign up required! You can do so below.
About our speakers:
The first speaker will be Pim Huijnen. Pim is an assistant professor of digital cultural history at the Department of History and Art History of Utrecht University, where he focuses on using computational tools to do quantitative text analysis.
The second speaker will be Florian Kunneman. Florian is a postdoctoral researcher based at Radboud University (Centre for Language Studies), with a background in communication science and language technology. In 2017 he defended his PhD dissertation on modelling patterns of time and emotion in Twitter, and is currently working on automatic summarization of forum threats.
Check out the Facebook event for more information on our speakers!