
About
Giulia Grisot is a Lecturer in Digital Humanities, Art History and Cultural Practices at the University of Manchester. Her research combines computational methods with literary analysis, focusing on spatial and emotional dimensions in texts.
Grisot employs natural language processing and machine learning techniques for literary mapping, sentiment analysis, and spatial entity recognition in fiction. Her projects include investigating spatial affect in German-Swiss literature and developing computational tools for analyzing emotional landscapes in texts.
She organizes academic events including the 'Comparing Landscapes: Approaches to Space and Affect in Literary Fiction' workshop and the ongoing Environmental Digital Humanities Seminar series. Her work bridges computational methods and traditional humanities scholarship.
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