21 citations · 32 across the 2 of their papers we have counts for
2 papers
cs.SI2013★ 21 cited
Analysing Mood Patterns in the United Kingdom through Twitter Content
Vasileios Lampos, Thomas Lansdall-Welfare, Ricardo Araya +1
Social Media offer a vast amount of geo-located and time-stamped textual content directly generated by people. This information can be analysed to obtain insights about the general…
cs.LG2012★ 11 cited
Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods
Vasileios Lampos
A vast amount of textual web streams is influenced by events or phenomena emerging in the real world. The social web forms an excellent modern paradigm, where unstructured user gen…