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Computational Drama Analysis : Reflecting on Methods and Interpretations.
- Format:
- Book
- Author/Creator:
- Andresen, Melanie.
- Language:
- English
- Subjects (All):
- Computational linguistics.
- Digital humanities.
- Physical Description:
- 1 online resource (230 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Berlin/Boston : Walter de Gruyter GmbH, 2024.
- Summary:
- This book, edited by Melanie Andresen and Nils Reiter, explores the emerging field of computational drama analysis, which applies computational methods to model, analyze, and interpret dramatic texts. It is part of the broader fields of computational literary studies and digital humanities. The volume is a compilation of papers from a workshop held in 2022, discussing achievements and challenges in this area. Key topics include the formal features of dramatic texts, the integration of computational methods with traditional literary analysis, and the potential for cross-cultural drama analysis using resources like the DraCor corpora. The book is aimed at scholars and researchers in literary studies, digital humanities, and computational linguistics. Generated by AI.
- Contents:
- Intro
- Contents
- Introduction
- Detecting Small Worlds in a Corpus of Thousands of Theater Plays
- Exploring Ancient Greek Comedy: Material Engagement Theory and Computational Tools
- Computational Drama Analysis from Almost Zero Electronic Text: the Case of Alsatian Theater
- "Let every word weigh heavy of her worth": Examining How Women Enact Power in Shakespeare's Comedies through Interactive Speech Pattern Visualizations
- Annotation and Automated Classification of Dramatic Situations
- The Schemer in German Drama
- From Stage to Page: Stylistic Variation in Fictional Speech
- Tragic and Comical Networks
- Emotions in Stage Directions in German Drama of the Early Modern Period
- List of Contributors.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Part of the metadata in this record was created by AI, based on the text of the resource.
- ISBN:
- 9783111071824
- 3111071820
- OCLC:
- 1439603702
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