People use social networks for different communication purposes, for example to share their opinion on ongoing events. One way to exploit this common knowledge is by using Sentiment Analysis and Natural Language Processing in order to extract useful information. In this paper we present a SA approach applied to a set of tweets related to a recent natural disaster in Italy; our goal is to identify tweets that may provide useful information from a disaster management perspective.

Sentiment Analysis on Microblogs for Natural Disasters Management

HERNANDEZ FARIAS, DELIA IRAZU
2015-01-01

Abstract

People use social networks for different communication purposes, for example to share their opinion on ongoing events. One way to exploit this common knowledge is by using Sentiment Analysis and Natural Language Processing in order to extract useful information. In this paper we present a SA approach applied to a set of tweets related to a recent natural disaster in Italy; our goal is to identify tweets that may provide useful information from a disaster management perspective.
2015
WWW '15 Companion Proceedings of the 24th International Conference on World Wide Web
Florence, Italy
18-22 May
Proceedings of the 24th International Conference on World Wide Web
ACM
1185
1188
9781450334730
9781450334730
http://dl.acm.org/citation.cfm?id=2741727
Sentiment Analysis
Buscaldi, Davide; Hernandez-Farias, Irazú
File in questo prodotto:
File Dimensione Formato  
p1185.pdf

Accesso riservato

Tipo di file: PDF EDITORIALE
Dimensione 612.38 kB
Formato Adobe PDF
612.38 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1558020
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 42
  • ???jsp.display-item.citation.isi??? 28
social impact