| Thema | Art | BearbeiterIn | BetreuerIn | ↑ Stichworte | Antrittsvortrag | Abschlussvortrag (MA) |
|---|
| Acquisition and Exploration of Text Corpora for the Supernatural TV Series and Fanfictions via Computational Text Analysis | BA | Nina Kleindienst | Thomas Schmidt | Text Mining, Fan Fiction, Digital Humanities, Computational Literary Studies, Fan Studies, Internet Studies | 2020-11-30 | |
| Exploring the United States Presidential Debates via Text Mining | MA | Anastasiia Mosiienko | Thomas Schmidt | Text Mining, Politics, Presidential Debates, Digital Humanities, Sentiment Analysis, Topic Modeling | 2020-06-15 | |
| Implementierung und systematische Evaluation von Methoden lexikonbasierter Sentiment Analyse für das Deutsche | MA | Jakob Fehle | Thomas Schmidt | Sentiment Analysis, Text Mining, Corpus Analytics, Natural Language Processing, Digital Humanities | 2020-06-15 | 2021-01-11 |
| Der Einsatz von Sentiment Analysis für das Usability-Testing | FPM | | Thomas Schmidt | Sentiment Analysis, Usability Engineering, User Test, multimodal, Text Mining, User Experience, Audio, Video | | |
| Analyse von Figuren-Netzwerk-Strukturen in Crossover-Fan-Fictions | BA | Johannes Hoffmann | Thomas Schmidt | Digital Humanities, Fan Fictions, Networks, Crossover, Fandom Fusion, AO3, Text Mining | 2021-06-14 | |
| Distant Reading in religiösen Online-Foren | BA | Florian Kaindl | Thomas Schmidt | Digital Humanities, Distant Reading, Text Mining, Natural Language Processing, Religion, Spirituality, Religious Studies | 2019-05-06 | |
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