| Description |
This course provides a practice-oriented introduction to the methods of text mining and quantitative text analysis. In terms of content, the course focuses on primary sources directly or indirectly related to Russia's war against Ukraine and its preconditions. These include speeches by Presidents Volodymyr Zelensky and Vladimir Putin (English translations are available) and the communication of other Russian and Ukrainian political actors – but also political texts from other countries related to the war in Ukraine (e.g. Switzerland, Poland, Germany, USA). The course follows a three-part structure. First, some new academic studies dealing with individual aspects of the political language of the Russo-Ukrainian war will be discussed by way of example. Here, students will have the opportunity to form interdisciplinary teams and develop their own research questions as well as discuss strategies of operationalization and research design (“How can this question be answered in principle using methods of descriptive text analysis?”). Students then receive a practical introduction to the most important functionalities of the programming language R and its intuitive application. Finally, an introduction to the specifics of text analysis follows, always using primary sources as examples. Here, students learn how to prepare and structure text data, analyze it using simple metrics and visualize the results. Students regularly submit code examples and present their solutions. The final paper or seminar paper takes up the research question formulated at the beginning and applies the methods learned to it. A laptop or tablet with a keyboard is essential for the course. If you do not own either, you can still participate. Please contact me before or during the first session. |
| Training objectives |
Students who have completed the course ... - ... can formulate a research question related to language and text and translate it into a scientific research design
- ... have in-depth knowledge of the discursive aspects of the Russo-Ukrainian war through the study of literature and extensive engagement with primary texts of the political actors involved
- ... can independently use the programming language R via the R-Studio environment to load, clean, transform and visualize data
- ... can import text data and prepare it for analysis, including the creation of corpora and dictionaries and the use of regular expressions
- ... are proficient in simple methods of analyzing text data (frequencies, associations, topic modelling) and can visualize the results
- ... are aware of the possibilities and limitations of quantitatively analyzing large amounts of text
- ... have methodological knowledge and practical skills that they can apply in their later work in science, data journalism, business and administration
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| Comments |
NEUE UNTERRICHTSEINHEIT BAPOL STUDIERENDE: Wir empfehlen diese Unterrichtseinheit ausdrücklich allen BApol Studierenden. ALLE STUDIERENDE: Es kann eine Seminararbeit hierzu geschrieben werden, wenn dieser Kurs ein Seminar im Studienplan ersetzt. Bitte schreiben Sie sich hierfür in die zugehörige Seminararbeit L41.00406 ein. Information zu den Einschreibungen: Alle Studierenden (auch Gaststudierende anderer Universitäten) müssen sich immatrikulieren und in Kurs UND Prüfung einschreiben. Ohne fristgerechte Einschreibung kann keine Note gutgeschrieben werden. Nach Ablauf der Ausschreibefrist ist die Einschreibung verbindlich. BENEFRI STUDIERENDE : BENEFRI Studierende bitten wir aufgrund der verzögerten Freischaltung des BeNeFri-Programms um Geduld. Wenn Sie sich nach Ihrer Freischaltung und der Aktivierung Ihres Switch Kontos (Zugang auf Myunifr) nicht in diesen Kurs einschreiben können, melden Sie sich vor Einschreibschluss per E-Mail beim Sekretariat des Fachbereichs "Politik und Gesellschaft". |