Vasileios Lampos, Elad Yom-Tov, Richard Pebody, Ingemar J. Cox. Assessing the impact of a health intervention via user-generated Internet content, Data Mining and Knowledge Discovery (DMKD).
[pdf] doi:10.1007/s10618-015-0427-9

Vasileios Lampos, Andrew C. Miller, Steve Crossan, Christian Stefansen. Advances in nowcasting influenza-like illness rates using search query logs, Scientific Reports.
[pdf] doi:10.1038/srep12760

Daniel Preoţiuc-Pietro, Vasileios Lampos, Nikolaos Aletras. An analysis of the user occupational class through Twitter content, ACL '15.

Elad Yom-Tov, Ingemar J. Cox, Vasileios Lampos. Learning About Health and Medicine from Internet Data, WSDM '15.
[pdf] doi:10.1145/2684822.2697042

Elad Yom-Tov, Ingemar J. Cox, Vasileios Lampos, Andrew Hayward. Estimating the Secondary Attack Rate and Serial Interval of Influenza-Like Illnesses using Social Media, Influenza and Other Respiratory Viruses.
[pdf] doi:10.1111/irv.12321


Vasileios Lampos, Nikolaos Aletras, Daniel Preoţiuc-Pietro, Trevor Cohn. Predicting and Characterising User Impact on Twitter, EACL '14.

Vasileios Lampos, Daniel Preoţiuc-Pietro, Sina Samangooei, Douwe Gelling, Trevor Cohn. Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly, ACL LACSS '14.

Alexander R. Bentley, Alberto Acerbi, Paul Ormerod, Vasileios Lampos. Books Average Previous Decade of Economic Misery, PLOS ONE.
[pdf] doi:10.1371/journal.pone.0083147


Vasileios Lampos, Daniel Preoţiuc-Pietro, Trevor Cohn. A user-centric model of voting intention from Social Media, ACL '13.

Vasileios Lampos, Thomas Lansdall-Welfare, Ricardo Araya, Nello Cristianini. Analysing Mood Patterns in the United Kingdom through Twitter Content, arXiv:1304.5507.

Alberto Acerbi, Vasileios Lampos, Philip Garnett, Alexander R. Bentley. The Expression of Emotions in 20th Century Books, PLOS ONE.
[pdf] doi:10.1371/journal.pone.0059030

Alberto Acerbi, Vasileios Lampos, Alexander R. Bentley. Robustness of emotion extraction from 20th century English books, BigData '13.
[pdf] doi:10.1109/BigData.2013.6691663

Daniel Preoţiuc-Pietro, Sina Samangooei, Vasileios Lampos, Trevor Cohn, Nicholas Gibbins, Mahesan Niranjan. D3.2.1 Clustering models for discovery of regional and demographic variation, TrendMiner Deliverables.

Sina Samangooei, Vasileios Lampos, Trevor Cohn, Nicholas Gibbins, Mahesan Niranjan. D3.1.2 Regression models of trends Tools for Mining Non-stationary Data: functional prototype, TrendMiner Deliverables.


Vasileios Lampos. Detecting events and patterns in large-scale user generated textual streams with statistical learning methods, Computer Science Department, University of Bristol.

Vasileios Lampos, Nello Cristianini. Diagnosing flu symptoms with social media, Natural Hazards Observer.

Thomas Lansdall-Welfare, Vasileios Lampos, Nello Cristianini. Effects of the Recession on Public Mood in the UK, WWW '12.
[pdf] doi:10.1145/2187980.2188264

Thomas Lansdall-Welfare, Vasileios Lampos, Nello Cristianini. Nowcasting the mood of the nation, Significance.
[pdf] doi:10.1111/j.1740-9713.2012.00588.x


Vasileios Lampos, Nello Cristianini. Tracking the flu pandemic by monitoring the Social Web, CIP '10.
[pdf] doi:10.1109/CIP.2010.5604088

Vasileios Lampos, Tijl De Bie, Nello Cristianini. Flu Detector - Tracking Epidemics on Twitter, ECML/PKDD '10.
[pdf] doi:10.1007/978-3-642-15939-8_42