Universität Wien FIND

420011 SE Bring your own (corpus): An introduction to the opportunities and challenges of machine learning (2018W)

Continuous assessment of course work

Details

max. 20 participants
Language: German

Lecturers

Classes

The colloquium will take place Tuesdays 2:30 to 4:00 pm in Sin 2 at the Department of East Asian studies (Campus, Entrance 2.3)


Information

Aims, contents and method of the course

The aim of the seminar is to demonstrate the opportunities and limitations of machine learning algorithms. The demonstration will be based on corpora supplied by the participants or texts downloaded from databases or scraped from websites. We will demonstrate how algorithms can aid the identification of patterns of meaning and making text amenable for statistical analysis. Participants will also learn how methods of corpus linguistics can be applied to texts in various languages and how sources can be classified using a variety of technologies. Specifically, they will learn where machine learning technologies can be usefully applied to their own dissertation projects, and where the use of machine learning is not recommended. The participants are required to briefly introduce their projects. Based on this, possible applications of machine learning algorithms will be identified, demonstrated and critically evaluated.

Assessment and permitted materials

Short presentation based and exposé, active participation.

Minimum requirements and assessment criteria

Exposé (40%}, presentation (40%), active participation (20%}.

Examination topics

To be decided for each individual dissertation.

Reading list

To be announced during the seminar.

Association in the course directory

Last modified: Fr 08.02.2019 09:28