Mapping moods: Geo-mapped sentiment analysis during hurricane sandy

Cornelia Caragea, Anna Squicciarini, Sam Stehle, Kishore Neppalli, Andrea Tapia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

77 Scopus citations

Abstract

Sentiment analysis has been widely researched in the domain of online review sites with the aim of generating summarized opinions of product users about different aspects of the products. However, there has been little work focusing on identifying the polarity of sentiments expressed by users during disaster events. Identifying sentiments expressed by users in an online social networking site can help understand the dynamics of the network, e.g., the main users' concerns, panics, and the emotional impacts of interactions among members. Data produced through social networking sites is seen as ubiquitous, rapid and accessible, and it is believed to empower average citizens to become more situationally aware during disasters and coordinate to help themselves. In this work, we perform sentiment classification of user posts in Twitter during the Hurricane Sandy and visualize these sentiments on a geographical map centered around the hurricane. We show how users' sentiments change according not only to users' locations, but also based on the distance from the disaster.

Original languageEnglish (US)
Title of host publicationISCRAM 2014 Conference Proceedings - 11th International Conference on Information Systems for Crisis Response and Management
PublisherThe Pennsylvania State University
Pages642-651
Number of pages10
ISBN (Print)9780692211946
StatePublished - 2014
Event11th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2014 - University Park, PA, United States
Duration: May 1 2014May 1 2014

Publication series

NameISCRAM 2014 Conference Proceedings - 11th International Conference on Information Systems for Crisis Response and Management

Other

Other11th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2014
CountryUnited States
CityUniversity Park, PA
Period5/1/145/1/14

All Science Journal Classification (ASJC) codes

  • Information Systems

Fingerprint Dive into the research topics of 'Mapping moods: Geo-mapped sentiment analysis during hurricane sandy'. Together they form a unique fingerprint.

Cite this