Cognitive network science - Massimo Stella скачать в хорошем качестве

Cognitive network science - Massimo Stella

This talk focuses on recent applications of network science to the quantification of cognitive patterns about people's perceptions. The recent field of cognitive network science, at the intersection between computer science, psycholinguistics and complex systems, provides novel tools for reconstructing how people frame and perceive events by means of conceptual associations, sentiment analysis and emotional profiling. Different case studies will be investigated, such as: (i) identifying subjective perceptions of STEM subjects in students and researchers, (ii) reconstructing the emotional profiles of social discourse around the gender gap in science and (iii) the identification of emotional patterns over time within the social discourse of COVID-19. Research gaps and potential bridges with natural language processing and AI will be highlighted, as well as theoretical motivations brought up by the current literature in cognitive science. Cognitive networks provide a transparent access to knowledge structure and its perceptions, opening the way to important future applications for policy making, interpretable AIs and social good. Massimo Stella is research assistant at the Department of Computer Science, Streatham Campus, University of Exeter. This seminar is part of the Network Seminar series organized by Liubov Tupikina and Marc Santolini at CRI, Paris (https://interactiondatalab.com/networ....