Data Driven Analysis of Texts
Workshop on March 8, 2017 in premises of iASK
The aim of the workshop is to demonstrate cutting edge methods of analysis of texts and discourse based on large data bases.
The workshop brought together the Peripato-ELTE Research group supported by the Hungarian Academy of Sciences and the Research Unit operating within the Big Data Centre of iASK. As it has been revealed in the workshop the two groups had surprisingly similar research interests aimed at to exploring semantic undercurrents in big databases stemming from media and parliamentary resources. The only difference between the groups was that of the approach. The ELTE-Peripato Group has followed a more deductive course while the Big Data group choose the inductive approach. Both groups have proven their ability to reveal hidden tendencies and trends in texts of media and of parliamentary sources. Both groups have agreed in continuation of the workshop and expressed their intent to take part in a future research aimed at to analyse trends of European pubic discourse on sustainable development and cooperation.
Organizer: György Csepeli
Research Fellows of iASK and Researchers of Peripato-ELTE and iASK scholars
9 am Welcome address (György Csepeli)
9.10. - 10.00.
Dániel Czégel: Statistical analysis and modelling of language change
András Szántó, József Venczeli: Semantic changes through the lens of distributional methods
Nikos Fokas: Order and innovations in complex social systems, The case of media dynamics - ritualism, evergreens and sensations
István Micsinai - Gergő Tóth: Cognitive and Geographical Maps of the public discourse, Topics in the Hungarian Dailies and Parliamentary Speeches
Discussion, future perspectives