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modules

Module title:Social Networks and Text Analysis (Professional)
Module codeECMM466
Module lecturers:Dr Riccardo Di Clemente
Module credits:15

***DATA SCIENCE AND DATA SCIENCE WITH BUSINESS STUDENTS ONLY***

The rise of the Web has created huge datasets relating to the interaction of users and online content. Much of this content is relational and is best understood using a network perspective (e.g. hyperlinked web pages; users linking to content; users linking to users on social platforms). Much of this content consists of unstructured text (e.g. webpages, blogs, social media posts) that requires computational methods for analysis at scale. In this module you will learn the core principles of social network analysis and computational text analysis, enabling you to gain insight from the rich data available on the Web.

Pre-requisites: ECMM456 Fundamentals of Data Science (Professional). Co-requisites: None.

Please note that all modules are subject to change, please get in touch if you have any questions about this module.