Description
Computational Analysis of Storylines: Making Sense of Events provides a thorough examination of how computational linguistics and NLP techniques can be applied to understand and analyze narrative structures. The book addresses the challenge of extracting, organizing, and interpreting event sequences from unstructured text data.
Written by leading experts in natural language processing, this work covers essential methodologies for identifying temporal relationships, causal connections, and narrative patterns within stories. It bridges the gap between traditional narrative analysis and modern computational approaches, offering practical insights for academics, researchers, and industry professionals.
The book combines theoretical foundations with real-world applications, making it invaluable for those working in digital humanities, text mining, information extraction, and computational semantics. Readers will gain practical knowledge of tools, techniques, and best practices for processing complex narrative data at scale.
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