36118 Applied Natural Language Processing

8cp; In-class lectures and tutorials
Requisite(s): 36100 Data Science for Innovation AND 36103 Statistical Thinking for Data Science AND 36106 Machine Learning Algorithms and Applications

Description

This subject introduces students to the complexities of human language data and the use of Natural Language Processing (NLP) and text mining techniques to analyse them. Students develop both technical and communicative skills to process and interpret unstructured textual data with a range of practical applications. Covering core NLP concepts and the latest developments in large language models, the course equips students with skills for insightful pattern discovery in natural language text, while emphasising ethical considerations.

Typical availability

Autumn Session, City Campus

Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.