D3.3 Details of the big data used in predicting country instability and model description
Afli, Haithem (Munster Technological University)
Zebrowski, Adam (Munster Technological University)
Alam, Mehwish (FIZ-Karlsruhe)
Chen, Yiyi (FIZ-Karlsruhe)

Date:	2021
Abstract:	This deliverable summarises the ITFLOWS Social Listening System, and the methodology used to analyse the GDELT dataset as an instability prediction component of the ITFLOWS EUMigraTool (EMT) policy making and sentiment monitoring module which is described in Deliverable 9. 4 Key Exploitable Result No. 3. In this document, we discuss the foundations and the technical details of our implementation of the ITFLOWS Social Listening System to monitor social tensions, unrests, and to detect or to calculate the probability of future events, or escalations.
Grants:	European Commission 882986
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons en que s'entrega l'obra al domini públic. Podeu copiar, modificar, distribuir l'obra i fer-ne comunicació pública, fins i tot amb finalitat comercial, sense demanar cap mena de permís.
Language:	Anglès
Series:	ITFLOWS Project
Document:	Informe

51 p, 1.8 MB

The record appears in these collections:
Research literature > Projects reports