[ 536DASCNLPV21 ] VL Natural Language Processing

Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS B3 - Bachelor's programme 3. year (*)Artificial Intelligence Navid Rekabsaz 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Artificial Intelligence 2021W
Objectives 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. Upon completing, students will be able to understand the mechanisms behind NLP systems, applied to applications such as language modeling, document classification, sentiment analysis, information retrieval, computational social science, and detection of societal biases. The students will be able to propose and weigh various solutions to NLP problems.
Subject The course covers the following topics:

  • Text processing
  • Sentiment analysis with machine learning
  • Language modeling with neural networks
  • Word embedding models (word2vec, GloVe, etc.)
  • Learning compositional embeddings
  • Contextualized word embeddings (practical walkthrough)
  • Principles of Information Retrieval
  • Footprint of societal phenomena and biases in NLP
Criteria for evaluation Written exam at the end of the semester
Methods Slide presentations with examples on blackboard.
Language English
Changing subject? No
Further information For further information visit
Corresponding lecture in collaboration with 536DASCNLPU21: UE Natural Language Processing (1.5 ECTS) equivalent to
536DASCNLPK20: KV Natural Language Processing (3 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment