In this class project, a database of twitter
data for the continental Europe was analysed with the intention of finding out
whether the data could be used extract all the money related talk and whether
this information could then be used to make financial decisions. From 14
million tweet streams, slightly more than 200 thousand tweets referred to money
in six different languages; English, German, French, Italian, Spanish, Dutch
and Greek. Seven countries in Europe
were used for the study, these were United Kingdom (and Northern Ireland),
France, Germany, Italy, Netherlands, Spain and Greece. Using GeoTools, Processing
(Fry and Reas, 2010) and MapThing (Reades, 2012) libraries in Java, the money
related tweets were dynamically mapped for the 29 days in February 2012.
According to the study it was observed that most money related talk takes place
in major cities with the most significant city being London.
 |
| Screen shot of money related tweets for the 29th February, 2012 |
Acknowledgements
I acknowledge the inputs from my colleagues Bartosz Hawelka and Jigme Thinley
Further details on the entire scope of the project can be found on http://lbswinners.blogspot.co.at/
References
- Fry, B., & Reas, C. (2010). Processing. Retrieved July 10, 2012, from Processing: http://processing.org/reference/frameRate_.html
- Reades, J. (2012). Processing Library MapThing. Retrieved July 10, 2012, from Processing Library MapThing: http://www.reades.com/MapThing/
