Digitale Lehre
The exercise provides skills in digital corpus analysis of literary texts. We will start with quantitative analysis of style, then look at the possibilities of automatic text classification and finally show how semantic analysis via Topic Modeling works. Based on the stylometric and semantic data we will create network models to see where similarity groups of texts form.

We will teach the course as a 'flipped classroom': The digital analysis methods will be taught in advance via screencasts by the teachers. At practice time there will be specific coaching via video conference (zoom). The corpora used in the screencasts consist of historical novels. In two video sessions during the semester, we will jointly apply the know how we have practiced on them to the fan fiction corpus that we have compiled for the seminar on "Contemporary Literature". Attending both sessions is recommended, but not a must. The students' presentations at the end of the semester will be held in a video conference with all participants.

Moodle is our central platform throughout the semester. For all tasks you can start from here! We start the first exercise as a video conference with everyone!
 

Semester: Inverno 2020/21