| Thema | ↓ Art | BearbeiterIn | BetreuerIn | Stichworte | Antrittsvortrag | Abschlussvortrag (MA) |
|---|
| Examining the Transformation from Original to Fan Fiction via Text Mining: A Case Study for Supernatural | BA | Nina Kleindienst | Thomas Schmidt | Text Mining, Fan Fiction, Digital Humanities, Computational Literary Studies, Fan Studies, Internet Studies | 2020-11-30 | |
| 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 |
| 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 | |
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