Automated detection of political trends and vaccine skepticism from social media text
Advances in Natural Language Processing (NLP) technology have allowed for automatically extracting public attitudes from large-scale social media text. In this webinar, we present state-of-the-art resources developed at the University of Antwerp for detecting prevailing sentiments towards prominent political topics, as well as the argumentations underlying vaccine skepticism.
Practical information:
Want to register?
- Price: free
Organised by:
Discover:
- Interactive demo: https://vaccinpraat.uantwerpen.be
- Article in Gazet van Antwerpen: https://www.gva.be/cnt/dmf20190521_04414938
Teacher/speaker
Pieter Fivez
Pieter Fivez holds a PhD in Linguistics from the University of Antwerp, focusing on machine learning of semantic representations of biomedical text. He currently works as a postdoctoral researcher at the University of Antwerp, where he coordinates the Antwerp Text Mining Centre (TEXTUA).
VAIA Presents, your monthly AI-appetizer
In Every month VAIA presented a fascinating person from the AI community. In a short presentation from industry, research or policy, you will discover the possibilities and applications of AI as well as the challenges. "VAIA Presents" offers an appetizer to stimulate you to learn (more) about AI. Don't forget to participate: VAIA Presents is free and no prior knowledge is expected!
Related courses
