Mood of the Nation uses more than half a million tweets on a daily basis to detect mood and affect trends in the population. We focus on four categories, namely Joy, Sadness, Anger and Fear and make inferences for several regions in the United Kingdom.

People Involved

Vasileios Lampos, PhD Student - Contact: bill <at>
Thomas Lansdall-Welfare, PhD Student
Nello Cristianini, Professor of Artificial Intelligence

Related Publications

Vasileios Lampos. Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods. Ph.D. Thesis, Computer Science Department, University of Bristol, 2012.
Thomas Lansdall-Welfare, Vasileios Lampos and Nello Cristianini. Effects of the Recession on Public Mood in the UK. In: Mining Social Network Dynamics (MSND) session on Social Media Applications in News and Entertainment (SMANE) at WWW '12, pp. 1221-1226, ACM, April 2012.

Media Coverage / Related Articles / Press Releases

June 7, 2012 - Revealed: The Face of Twitter Geeks are Sexy
April 18, 2012 - Can Twitter Tell Us What We’re Feeling? [VIDEO] Mashable
April 17, 2012 - Interview of Prof. Nello Cristianini, BBC World News
April 17, 2012 - Twitter reveals effects of the recession on public mood New Scientist
April 17, 2012 - Tweets Reveal How UK Felt About National Events MSNBC
April 17, 2012 - Rise in public anger found on Twitter before riots The Telegraph
April 17, 2012 - Can social media detect the changes in public mood? Press Release by the University of Bristol


We would like to thank Twitter since it forms the main information source for this academic project.

Contact Information

Feel free to send an email to Bill.Lampos <at> for any questions or possible ideas for further development of this work.