Covers the basics of Natural Language Processing, including tokenization, part-of-speech tagging, and embeddings, and explores practical applications like sentiment analysis.
Explores the creation of a tailored Social Sciences and Humanities publication platform, focusing on innovative information reaggregation and immersive visualization.
Explores patrimonial capitalism within the DH Circle, discussing the control of cultural datasets and the importance of optimizing digitization workflows.
Explores methods for information extraction, including traditional and embedding-based approaches, supervised learning, distant supervision, and taxonomy induction.
