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  4. Evaluation of a Semantic Field-Based Approach to Identifying Text Sections about Specific Topics

Evaluation of a Semantic Field-Based Approach to Identifying Text Sections about Specific Topics

Publikationstyp
Conference Paper
Date Issued
2019-07
Sprache
English
Author(s)
Vauth, Michael
Adelmann, Benedikt
Andresen, Melanie
Begerow, Anke
Franken, Lina
Gius, Evelyn
Other Contributor
Universtität Hamburg
Institut
Humanities B-6
TORE-URI
http://hdl.handle.net/11420/4538
Citation
Digital Humanities conference, DH 2019
Contribution to Conference
Digital Humanities conference, DH 2019
With the increasing availability of large corpora, humanist scholars gain opportunities to choose their material in a more data-driven way. How can we identify texts or text sections relevant to our research question if we abandon prior knowledge as a determining factor? In this paper, we explore the potential of semantic fields for finding text sections about a topic of interest.
Subjects
Textanalyse
Hermeutik
Digital Humanities
DDC Class
400: Sprachwissenschaft, Linguistik
Funding(s)
Automatisierte Modellierung hermeneutischer Prozesse - Der Einsatz von Annotationen für sozial- und geisteswissenschaftliche Analysen im Gesundheitsbereich: LFF-FV 35
TUHH
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