36118 Applied Natural Language Processing8cp; 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
Analysis of naturally occurring human language offers significant potential for understanding our world. However, these forms of data are a challenge in data science as they are often more complex to collect, process, and interpret than numerical data. In this subject, students learn to work with textual data using automated methods of Natural language Processing (NLP) and text mining. They develop technical and communicative skills in the applications of natural language processing on messy unstructured data sets. The subject covers the core concepts of NLP and major techniques to extract insights and discover patterns from natural language text. It provides students with a working knowledge of practical NLP applications and an understanding of their ethical usage across contexts.
Autumn Session, City Campus
Detailed subject description.