Artificial Intelligence techniques for automated analysis of social media data

  • Artificial Intelligence techniques for automated analysis of social media data

School of Electronics, Electrical Engineering and Computer Science
& ECIT Global Research Institute

Proposed Project Title: Artificial Intelligence techniques for automated analysis of social media data

Principal Supervisor:   DrAnna Jurek      Second Supervisor: Dr Deepak Padmanabhan  

 

Project Description:

Social media is one of the most significant information exchange technologies of the 21st century. Popular sites like Twitter, Facebook, Instagram and Foursquare provide vast amounts of semi-structured and unstructured data, such as textual data (e.g. tweets and comments), network data (e.g. Facebook friendship network), actions (e.g. likes) and location data. Analysis of these massive quantities of data can provide valuable hidden insights that can be applied to make informed decisions in multiple domains including healthcare, security and marketing.

The main objective of this project will be to develop a scalable and intelligent technology for automatic analysis of the big data generated through social media using different artificial intelligence techniques. This will involve undertaking research in the areas of machine learning, information retrieval and natural language processing.

Some of the problems that we seek to address in this project include: recognising fake news and fake user accounts on social media, predicting propagation of information on the web and detecting emergent events.


Contact details

Supervisor Name: Anna Jurek           Tel: +44 (0)28 9097 4484

QUB Address: 
Computer Science Building
03.009, 18 Malone Road                   Email: a.jurek@qub.ac.uk
BT9 5BN Belfast