Inhalt

[ 536DASCNLPU21 ] UE (*)Natural Language Processing

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
1,5 ECTS B3 - Bachelor 3. Jahr Artificial Intelligence Navid Rekabsaz 1 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Bachelorstudium Artificial Intelligence 2020W
Ziele (*)Natural Language Processing (NLP) is the study of how to understand and process human language using computational methods. The aim of the course is to provide in depth knowledge on the essential elements of NLP, particularly based on machine learning and neural networks. Through assignments, students gain the know-how to develop effective NLP solutions with machine learning and neural networks for tasks such as document classification and sentiment analysis.
Lehrinhalte (*)The assignments cover the following topics:

  • Text processing
  • Sentiment analysis with machine learning and bag-of-word methods
  • Working with word embeddings
  • Document classification with PyTorch
Beurteilungskriterien (*)Three assignments during the course, and one in-class workshop
Lehrmethoden (*)Jupyter Notebook Assignments as well as one practice-oriented workshop.
Abhaltungssprache Englisch
Lehrinhalte wechselnd? Nein
Sonstige Informationen (*)For further information visit https://www.jku.at/en/institute-of-computational-perception/teaching/alle-lehrveranstaltungen/natural-language-processing
Äquivalenzen (*)in collaboration with 536DASCNLPV21: VL Natural Language Processing (1.5 ECTS) equivalent to
536DASCNLPK20: KV Natural Language Processing (3 ECTS)
Präsenzlehrveranstaltung
Teilungsziffer 35
Zuteilungsverfahren Direktzuteilung