PhDnet@CAIS. Webinar text analysis

Webinar

Digital methods: Topic, context or frame? Possibilities and limits of automated text analysis

  CAIS, Universitätsstr. 104, 44799 Bochum

  CAIS

» Contact: Dr. Nina Hahne

» Please note that the webinar is already fully booked.

PhDnet@CAIS. Webinar on automated text analysis with R

Due to the corona pandemic, PhDnet@CAIS will continue its series on digital methods for doctoral students in the humanities virtually.

In the webinar on 9 June 2020, Svenja Boberg MA (University of Münster) will provide an insight into the possibilities and limits of automated text analysis. By using application examples, she will present and discuss different methods, and their advantages and limitations.

The webinar will deal not only with the occurrence of typical terms or words that appear together, but also with more complex methods such as the capturing of emotions or topics. Participants will also familiarize themselves with the most important R packages, thereby learning with the example of smaller research questions to carry out automated content analyses independently.

The webinar will allow participants to try out the tools and methods presented, to discuss the possibilities and limits of these tools and methods, and to share their own experiences. The event will be held via Zoom.

Previous knowledge is not required. We will inform you in good time should you need to install any software.

Please note that the webinar is already fully booked.

Should you have any questions, please feel free to contact Dr. Nina Hahne (nina.hahne@cais.nrw).

Programm

10:00 – 11:00 Uhr
//Begrüßung und Input

 

11:00 – 12:30 Uhr
//Anwendungsphase in Kleingruppen
12:30 – 13:00 Uhr
//Mittagspause

 

13:00 – 14:00 Uhr
//Feedbackrunde und weiterer Input

PhDnet@CAIS is an open network provided by the Center for Advanced Internet Studies (CAIS) that gives long-term support to doctoral students – support that extends even beyond the completion of their dissertation. The network is a forum that allows doctoral students to establish scholarly contacts across subject borders. It organizes events for doctoral students whose projects deal with the social chances and risks of digitalization.