Performance of a pre-trained sentiment analysis (SA) model on tweets related to emergency response and early recovery. The case of 2019 Albanian Earthquake

Contreras Mojica, Diana, Wilkinson, Sean, Alterman, Evangeline and Hervás, Javier 2021. Performance of a pre-trained sentiment analysis (SA) model on tweets related to emergency response and early recovery. The case of 2019 Albanian Earthquake. Presented at: 37th General Assembly of the European Seismological Commission (ESC 2021), Virtual, 19-24 September 2021.

Video (MPEG) (Presentation at the 37th General Assembly of the European Seismological Commission (ESC 2021)) - Presentation Download (165MB)

Item Type:	Conference or Workshop Item (Speech)
Date Type:	Published Online
Status:	Unpublished
Schools:	Earth and Environmental Sciences
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) G Geography. Anthropology. Recreation > GB Physical geography G Geography. Anthropology. Recreation > GE Environmental Sciences H Social Sciences > H Social Sciences (General) H Social Sciences > HA Statistics H Social Sciences > HV Social pathology. Social and public welfare T Technology > TA Engineering (General). Civil engineering (General)
Funders:	Engineering and Physical Sciences Research Council (EPSRC) Grant number: EP/P025641/1
Related URLs:	Project
Date of First Compliant Deposit:	22 September 2021
Last Modified:	08 Apr 2022 14:37
URI:	https://orca.cardiff.ac.uk/id/eprint/144303

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