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Semi-Automatic Identification of Travelogues
- Author(s):
- Doris Gruber, Martin Krickl, Jan Rörden (see profile) , Rainer Simon
- Contributor(s):
- Bernhard Haslhofer
- Date:
- 2020
- Group(s):
- DH2020
- Subject(s):
- Corpora (Linguistics), Digital humanities, Machine learning, Travel
- Item Type:
- Presentation
- Tag(s):
- Corpus
- Permanent URL:
- http://dx.doi.org/10.17613/d74t-2h79
- Abstract:
- Travel literature represents a rich source of information about the past, and has been of increasing interest in the scholarly community. The Travelogues project aims to study what we can learn from past views of foreign regions, cultures and religions in the light of present-day challenges such as mass tourism, migration and globalization. Comprising a team of historians, librarians and data scientists, Travelogues applies a transdisciplinary approach, combining quantitative and qualitative analytical methods to study a large-scale corpus of German language travelogues.
- Metadata:
- xml
- Status:
- Published
- Last Updated:
- 3 years ago
- License:
- All Rights Reserved
- Share this:
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dh2020_presentation.pptx