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Master Thesis Natural Language Processing in User-Generated Content

Applying Argumentation Mining to User-Generated Content to support user towards a more logical ciivl discourse in the web.

In this master thesis, the student should apply Argumentation Mining in the field of User-Generated Content. The aim is to contribute to the field of Natural Language Processing and Machine Learning by creating a novel model to analyse logical argumentation texts.

You should…
- have a solid understanding of NLP or related fields (or at least be willing to learn and work with it)
- have an understanding of Python or Java (or at least be willing to learn and work with it)
- work in an independent and accurate way
- have scientific writing skills in English
- be passionate about digitalization, text mining and algorithms

We offer you a close supervision and the opportunity to develop practical, as well as theoretical skills in the area of data science. If you are interested, send your CV, transcript of records and a brief description of your motivation to thiemo.wambsganss@unisg.ch.



Publiziert von thiemo.wambsganss@unisg.ch

Kontakt: Thiemo Wambsganss