modules
| Module title: | Social Networks and Text Analysis (Professional) |
|---|---|
| Module code | COMM419DA |
| Module lecturers: | Dr Riccardo Di Clemente |
| Module credits: | 15 |
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: COMM415 DA Fundamentals of Data Science (Professional)
Co-requisites: None
This module is a part of the dual-qualification MScData Science (Professional / Level 7 Research Scientist Apprenticeship programme. It cannot be taken as an elective by students on other programmes.
The apprenticeship standard and other documentation relating to the Level 7 Research Scientist Apprenticeship can be found here: https://www.instituteforapprenticeships.org/apprenticeship-standards/research-scientist-v1-0.
Please note that all modules are subject to change, please get in touch if you have any questions about this module.