When: Tuesday, May 15, 2018 from 16.00 to 17.00
Agenda: Interactive discussion of opportunities and pitfalls for usage of Machine Learning & Big Data on Communication Research.
Presenters: Dr. Damian Trilling and Dr. Theo Araujo
This lecture is part of the general sessions on Machine Learning, which will discuss Machine Learning, Big Data and related topics from a theoretical and methodological perspective. These sessions will provide an in-depth understanding of these methods, including retrieval of data via APIs and their analysis using supervised methods (e.g., classifiers) and unsupervised methods (e.g., topic models). We will show examples and reflect upon opportunities and limitations for communication research. Participants should, at the end of these sessions, have strong understanding of these methods, and the ability to decide whether, and if so, how to apply them into their own research lines, including how to take part in (or coordinate) projects that use these methods.