TY - GEN

T1 - Visual Analytics of Microblog Data for Pandemic and Crisis Analysis

AU - Pritchard, Iwan C.

AU - Walker, Rick

AU - Roberts, Jonathan C.

N1 - Conference code: 3

PY - 2012

Y1 - 2012

N2 - Microblogging is a rich and plentiful source of data that contains potentially valuable information amidst noise. This work presents software that extracts useful metadata from a microblog dataset to explore and analyze the data for the detection and exploration of crisis events. The developed software (Vambutu) was successfully used to examine an artificially-generated dataset for the onset and source of an illness outbreak. A part of speech tagger was used to divide microblog posts into their component parts for the purposes of identifying posts pertaining to first, second, and third-hand experiences. A successful demonstration of this ability revealed clearly identifiable patterns for first-hand experiences. For example, for the word pneumonia we found patterns that were not apparent when all posts pertaining to pneumonia were examined at once. This promising result demonstrates the potential as a tool for filtering out irrelevant noise during the occurrence of a crisis event.

AB - Microblogging is a rich and plentiful source of data that contains potentially valuable information amidst noise. This work presents software that extracts useful metadata from a microblog dataset to explore and analyze the data for the detection and exploration of crisis events. The developed software (Vambutu) was successfully used to examine an artificially-generated dataset for the onset and source of an illness outbreak. A part of speech tagger was used to divide microblog posts into their component parts for the purposes of identifying posts pertaining to first, second, and third-hand experiences. A successful demonstration of this ability revealed clearly identifiable patterns for first-hand experiences. For example, for the word pneumonia we found patterns that were not apparent when all posts pertaining to pneumonia were examined at once. This promising result demonstrates the potential as a tool for filtering out irrelevant noise during the occurrence of a crisis event.

KW - Data Visualisation

KW - Visualisation

KW - Human Computer Interaction

KW - Pandemic

KW - EuroVA

KW - Visual Analytics

KW - Crisis

KW - Microblog data

KW - Pneumonia

KW - Microblogging

KW - Information Visualisation

KW - natural language processing

UR - http://dx.doi.org/10.2312/PE/EuroVAST/EuroVA12/055-059

UR - https://www.eurova.org/previous-events/eurova-2012

U2 - 10.2312/PE/EuroVAST/EuroVA12/055-059

DO - 10.2312/PE/EuroVAST/EuroVA12/055-059

M3 - Conference contribution

BT - International Workshop on Visual Analytics (2012) - EuroVA

A2 - Matkovic, Kresimir

A2 - Santucci, Giuseppe

PB - The Eurographics Association

T2 - Eurovis workshop on visual analytics (EuroVA 2012)

Y2 - 4 June 2012 through 5 June 2012

ER -