Natural Language Processing

This course prepares students to explain the basic concepts and stages of natural language processing, apply text representation and text classification, and develop natural language processing applications responsibly. Study materials: Data Management (DM), Artificial Intelligence (AI).

Topics

1. Basic concepts of natural language processing
2. Text preprocessing
3. Text representation and word embeddings
4. Text classification
5. Language models
6. Natural language processing applications
7. Bias and responsibility in natural language processing applications

Each course outcome derives from one programme outcome.

1. CPMK-AIDE-02

   Students are able to build an applied decision basis by optimising computing performance through simultaneous processing, and apply the principles of computing ethics

   CPLP03
2. CPMK-AIDE-01

   Students are able to design and implement advanced artificial intelligence modelling to analyse diverse large-volume data through the management of structured data storage infrastructure.

   CPLP03

CPLP03

Develop advanced artificial intelligence models and manage big data, and build applied decision support with attention to optimal performance and computing ethics.