Computational Analysis of Storylines

Discover the intricate world of storytelling with Computational Analysis of Storylines by Tommaso Caselli. Published by Cambridge University Press in 2021, this enlightening hardback edition spans 274 pages and delves into the automated deep learning methodologies that are revolutionizing the way we track events in news and nonfiction narratives.

This multidisciplinary work is designed for graduate students and researchers alike, making complex concepts accessible while highlighting cutting-edge research in the dynamic field of Natural Language Processing. With its focus on addressing the fragmentation within this vibrant area of study, Computational Analysis of Storylines proposes innovative solutions that will enhance your understanding of how stories are constructed and shared. Don't miss out on this essential resource for anyone interested in the intersection of technology and narrative analysis.