Text Analytics: Digital Humanities

Text Analytics: Digital Humanities

Course Content

Digital Humanities (also referred to as eHumanities or Humanities Computing) is an interdisciplinary research area and connects computer science with social science and the humanities. Digital humanities as subject of research has received a lot of attention lately, given the growing amount of online data and digitized freely available manuscripts.

The content of this seminar will highlight novel methods developed in Natural Language Processing (NLP) which are applied in educational science, psychology, literature, history and sociology, among others. We will discuss studies which develop innovative automatic approaches to problems raised within the various social science and humanities disciplines. Wherever possible, we will analyze the results of these studies in practice.

Participants of the seminar will be given an overview of application scenarios for NLP methods in the study of the humanities, as well as deeper insights to selected approaches, resources, and tools.


Lecture: Thursday 13:30-15:10, Room S2|02 D017.

The first class will be held on April 16th 2015.

Additional Material will be distributed via the Moodle eLeaning platform. The required passcode will be distributed during the lecture.


  • Schreibman, S., Siemens, R., & Unsworth, J. (2004). A Companion to Digital Humanities. Wiley-Blackwell.
  • Kirschenbaum, M. G. (2010). What Is Digital Humanities and What's It Doing in English Departments? ADE Bulletin, 150, 55–61.
  • Terras, M., Nyhan, J. & Vanhoutte, E. (2013). Defining Digital Humanities. A Reader. Ashgate. (Collection of essays, many of which are available online)


The first sessions will feature introductory lectures to Natural Language Processing and Digital Humanities. The program for the remainder of the seminar will be determined according to number of participants and topics to be discussed.

Date Lecture
16.04 Welcome
23.04. Introduction to NLP
30.04. Introduction to Digital Humanities
07.05. Special: Text Classification
21.05. NLP to analyze linguistic style/NLP and sociology
28.05. Guest Lecture
11.06. NLP for historical texts
18.06. NLP and psychology
25.06. NLP to analyze fiction
02.07. NLP for politics and education
09.07 NLP for the motion picture
16.07. Wrap up


Each student is expected to

  • attend the seminar sessions and actively contribute to the discussion in the seminar
  • prepare a presentation on a topic/tool relevant for the seminar
  • present this presentation and be able to answer questions from the audience
  • prepare a term paper on the topic/tool

Teaching Staff

  • Johannes Daxenberger
  • Prof. Dr. Iryna Gurevych

We do not have fixed office hours. Please register via email if you need an appointment.