02-25-1074-ue Sentiment and Scandal

Course offering details

Instructors: Svenja Guhr

Event type: Exercise

Org-unit: Dept. 02 - Institute of Linguistics and Literary Studies

Displayed in timetable as: 02-25-1074-ue

Subject:

Crediting for:

Hours per week: 2

Language of instruction: Englisch

Min. | Max. participants: - | 20

Digital Teaching:
In addition to using the digital learning platform Moodle as a place of exchange for presentations (some with audio track), reading and preparation materials, the video conference service Zoom will also be used to enable discussions and direct exchange online and synchronously during seminar times.  

You can obtain the access link to the virtual course room from Moodle. 

The preferences, technical possibilities and needs of the students are taken into account in the concrete implementation of digital teaching. 

Course Contents:
How can the emotions of literary characters be analysed on the computer? Can stereotypical characteristics of literary movements (such as the emotionality of the Sturm und Drang or the negativism in Romanticism) also be detected with quantitative analyses? Is scandalous literature distinguished by particular emotionality? 

Sentiment analysis is a current topic of discussion in the Digital Humanities, in which automated text analysis in particular plays a major role.  
In this semester course, we will focus on a specific area of sentiment analysis by applying it in different ways to literary texts, with a focus on scandalous literature.

For this purpose, we will deal with the manual and automated analysis of sentiments of literary characters as well as stereotypical characteristics of literary movements and genres.

Since the course is a "practical course", the focus will be on application examples with hands-on sessions and the implementation of a small group project.

Literature:
Liu, Bing (2015): Sentiment analysis and opinion mining, San Rafael, Calif.: Morgan & Claypool. (Online access via ULB catalogue only to first edition (2012)) 

Primary literature likely to be used, including: 
Lessing, G.E. (1772): Emilia Galotti. 
Goethe, J.W. (1774): The Sorrows of Young Werther. First version from 1774. 
Zola, E. (1880): Nana.

Preconditions:
Prior fundamental knowledge of programming (python, R) and the use of digital text analysis tools is advantageous and encouraged.

Further Grading Information:
Further information on the course and its organisation will be announced in the 1st session.

Online Offerings:
moodle

Literature
Appointments
Date From To Room Instructors
1 Th, 15. Apr. 2021 09:50 11:30 >Digitaler Veranstaltungstermin Svenja Guhr
2 Th, 22. Apr. 2021 09:50 11:30 >Digitaler Veranstaltungstermin Svenja Guhr
3 Th, 29. Apr. 2021 09:50 11:30 >Digitaler Veranstaltungstermin Svenja Guhr
4 Th, 6. May 2021 09:50 11:30 >Digitaler Veranstaltungstermin Svenja Guhr
5 Th, 20. May 2021 09:50 11:30 >Digitaler Veranstaltungstermin Svenja Guhr
6 Th, 27. May 2021 09:50 11:30 >Digitaler Veranstaltungstermin Svenja Guhr
7 Th, 10. Jun. 2021 09:50 11:30 >Digitaler Veranstaltungstermin Svenja Guhr
8 Th, 17. Jun. 2021 09:50 11:30 >Digitaler Veranstaltungstermin Svenja Guhr
9 Th, 24. Jun. 2021 09:50 11:30 >Digitaler Veranstaltungstermin Svenja Guhr
10 Th, 1. Jul. 2021 09:50 11:30 >Digitaler Veranstaltungstermin Svenja Guhr
11 Th, 8. Jul. 2021 09:50 11:30 >Digitaler Veranstaltungstermin Svenja Guhr
12 Th, 15. Jul. 2021 09:50 11:30 >Digitaler Veranstaltungstermin Svenja Guhr
Class session overview
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Instructors
Svenja Guhr