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Root number
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520943 |
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Semester
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HS2026 |
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Type of course
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Seminar |
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Allocation to subject
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Digital Humanities |
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Type of exam
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not defined |
| Title |
Quantitative Text Analysis and Distant Reading |
| Description |
This course introduces key computational methods in digital humanities, with a focus on quantitative text analysis as a means of studying literary, historical, and cultural texts. It begins with an introduction to corpus analysis methods before moving on to topic modeling, authorship attribution, and other forms of analysis, such as network, gender, and genre analysis. Students will learn to evaluate these methods in relation to disciplinary questions, source characteristics, and research goals. The course emphasizes interpretation, reproducibility, and the connection between computational results and disciplinary questions. No prior knowledge of digital humanities is required. |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Elena Spadini, Digital Humanities @ University of Bern ✉
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ECTS
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6 |
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Recognition as optional course possible
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Yes |
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Grading
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1 to 6 |
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| Dates |
Friday 10:00-12:00 Weekly
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| Rooms |
Seminarraum F -103, Hörraumgebäude Unitobler
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
User:
Öffentlicher Bereich
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