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.
Covers the basics of Natural Language Processing, including tokenization, part-of-speech tagging, and embeddings, and explores practical applications like sentiment analysis.
Explores methods for information extraction, including traditional and embedding-based approaches, supervised learning, distant supervision, and taxonomy induction.
Introduces Natural Language Processing (NLP) and its applications, covering tokenization, machine learning, sentiment analysis, and Swiss NLP applications.
