Generative Methods for Social Media Analysis

Stan Matwin is a Canada Research Chair at the Faculty of Computer Science, Dalhousie University, and the Director of the Institute for Big Data Analytics. He is also Emeritus Distinguished Professor of Computer Science at the University of Ottawa, and a Professor in the Institute of Computer Science of the Polish Academy of Sciences.Aristides Milios is a Researcher at McGill University in Montreal and passionate about the intersection between Natural Language Processing (NLP) and Machine Learning; specifically, about the latent few-shot learning abilities of large language models.Paweł Prałat is a Professor at the Department of Mathematics at Toronto Metropolitan University (formerly Ryerson University). His research is focused on modelling and mining complex networks.Amilcar Soares is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland. His research interests include spatiotemporal data enrichment, segmentation, classification, clustering, and visualization. François Théberge is a mathematician with the Tutte Institute for Mathematics and Computing in Ottawa. His research focuses on data science for relational data.

• 1. Introduction.- 2. Ontologies and Data Models for Cross-platform Social Media Data.- 3. Methods for Text Generation in NLP.- 4. Topic and Sentiment Modelling for Social Media.- 5. Mining and Modelling Complex Networks.- 6. Conclusions.