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A Tool for Human-in-the-Loop Analysis and Exploration of (not only) Prosodic Classifications for Post-modern Poetry

  • Data-based analyses are becoming more and more common in the Digital Humanities and tools are needed that focus human efforts on the most interesting and important aspects of exploration, analysis and annotation by using active machine learning techniques. We present our ongoing work on a tool that supports classification tasks for spoken documents (in our case: read-out post-modern poetry) using a neural networks-based classification backend and a web-based exploration and classification environment.

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Metadaten
Author:Timo BaumannORCiDGND, Hussein Hussein, Burkhard Meyer-SickendiekORCiD, Jasper Elbeshausen
URL / DOI:https://dl.gi.de/bitstream/handle/20.500.12116/25047/paper03_08.pdf?sequence=1&isAllowed=y
ISBN:978-3-88579-689-3
Parent Title (English):Informatik 2019 : 50 Jahre Gesellschaft für Informatik Workshop-Beiträge Fachtagung vom 23.-26. September 2019 in Kassel
Publisher:Gesellschaft für Informatik
Place of publication:Bonn
Editor:Claude Draude, Martin Lange, Bernhard Sick
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2019
Release Date:2022/04/09
Tag:classification; data mining; free verse poetry; human-in-the-loop; rhythmical patterns
First Page:151
Last Page:156
Institutes:Fakultät Informatik und Mathematik
Begutachtungsstatus:peer-reviewed
Publication:Externe Publikationen
research focus:Information und Kommunikation
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG