36118 Applied Natural Language Processing

Description

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.

Typical availability

Autumn Session, City Campus