PhD seminar: Machine Learning Techniques for Text

Publication Date: 2023-09-04

In the context of the ZHAW & USI Doctoral Programme in Applied Linguistics: Managing Languages, Arguments and Narratives in the Datafied Society, we are happy to announce, the PhD seminar: Machine Learning Techniques for Text

Lecturer: Nikos Tsourakis, research associate at the Faculty of Translation and Interpreting at the University of Geneva. He has over 20 years of experience designing, building, and evaluating intelligent systems using speech and language technologies. In the past, he worked as a software engineer, developing products for major telecommunication vendors. He holds a degree in electronic and computer engineering, a master’s in management, and a PhD in multilingual information processing.


  • 23. November, 2023, 09:00-17:15 (inclusive of breaks and hands-on sessions)
  • 24. November, 2023, 09:00-17:15 (inclusive of breaks and hands-on sessions)

Place: Università della Svizzera Italiana, Lugano

Read more about added value and learning objectives here.

This introductory to intermediate-level seminar focuses on natural language processing and machine learning techniques for text using Python. Although some basic programming knowledge is desirable, the seminar will start with a Python crash course to onboard all participants. The exercises will be in the form of Jupyter notebooks to avoid the burden of installing and configuring the tools. Moreover, the focus will not solely be on the programming tasks; participants will benefit from the presentations of the methods incorporated in the exercises. Intuitive explanations and real-world analogies will be provided when possible. In this respect, the content of the different exercises will consist of a theoretical and a practical part.

The seminar offers ECTS: 1

news/2023/09/04_1693835781.txt · Last modified: 2023/09/04 16:07 by Cristina Grisot