Explores the analysis of mood expressed on Twitter using longitudinal data and text analysis tools, emphasizing the importance of considering biased data.
Delves into catastrophes, from the Lisbon earthquake to the Anthropocene, exploring shifts from providentialist to scientific paradigms and the collapse of industrial civilization.
Provides an overview of Natural Language Processing, focusing on transformers, tokenization, and self-attention mechanisms for effective language analysis and synthesis.
