Element 68Element 45Element 44Element 63Element 64Element 43Element 41Element 46Element 47Element 69Element 76Element 62Element 61Element 81Element 82Element 50Element 52Element 79Element 79Element 7Element 8Element 73Element 74Element 17Element 16Element 75Element 13Element 12Element 14Element 15Element 31Element 32Element 59Element 58Element 71Element 70Element 88Element 88Element 56Element 57Element 54Element 55Element 18Element 20Element 23Element 65Element 21Element 22iconsiconsElement 83iconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsElement 84iconsiconsElement 36Element 35Element 1Element 27Element 28Element 30Element 29Element 24Element 25Element 2Element 1Element 66
Cooperation with the Language Technology and Data Analysis Laboratory of the University of Queensland

Cooperation with the Language Technology and Data Analysis Laboratory of the University of Queensland

The Media Research Methods Lab (MRML), which was launched at the HBI a year ago, has agreed to work closely with the Language Technology and Data Analysis Laboratory (LADAL) of the School of Languages and Cultures at the University of Queensland, Australia.
 
LADAL's mission is to teach and further develop computer-assisted analysis methods, especially for the evaluation of language data for various disciplines in the humanities and social sciences. In this respect, there is a great deal of overlap with the aims of the MRML, particularly in the production of self-study materials for applications of text mining and automatic language processing for research purposes.
 
In the course of the collaboration, an extensive collection of interactive tutorials, language resources and software components, for example for network analysis, computer-aided content analysis and data visualisation, will be developed within the next months. On its website, LADAL already provides a variety of online tutorials for statistical analyses and text mining with the programming language R.
 
The project "Social Media Observatory" makes its body of knowledge on tools and methods of social media data analysis accessible to the research community in the SMO Wiki.

 
Photo: Joey Csunyo / unsplash
(09.09.2021)
 
 

Newsletter

Subscribe to our newsletter and receive the Institute's latest news via email.

SUBSCRIBE!