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Mining Conversations of Geographically Changing Users
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Communication Research)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Communication Research)
2012 (English)In: Proceedings of the World Wide Web 2012 Workshop on Social Web for Disaster (SWDM2012), Lion, 2012Conference paper, Published paper (Refereed)
Abstract [en]

In recent disaster events, social media has proven to be an effective communication tool for affected people. The corpus of messages contains valuable information about the situation on the ground, needs, and locations of victims. We propose a methodology to extract significant aspects of user discussions to better inform responders and enable an appropriate response.

The methodology combines location/movement based selection of user together with text mining (term frequency inverse document frequency) to identify important topics of conversation in a dynamic geographic network. We further suggest that both topics and movement patterns change during a disaster, which further allows for identification of new trends.

When applied to an area where a disaster has recently occured this approach can provide useful insights into where people are located, where they are going and what they saying during those movements. 

Place, publisher, year, edition, pages
Lion, 2012.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:uu:diva-171589OAI: oai:DiVA.org:uu-171589DiVA: diva2:511653
Conference
WWW2012
Available from: 2012-03-22 Created: 2012-03-22 Last updated: 2012-03-26

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McNamara, LiamRohner, Christian

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