Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
POLYPHONET: An advanced social network extraction system from the Web
Web Semantics: Science, Services and Agents on the World Wide Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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During and after crisis situations people are interested in getting knowledge about what happened and in obtaining information regarding damages, victims, and possible repercussions. Social network systems represent powerful sources due to their rapid growth in the last few years and the amount of continuous updated information published by people. Studies confirmed that people are interested in reporting facts during hazards, however due to the wide distribution of information and the lack of mechanisms to re-use it, it is an awkward task to be accomplished. For the above reasons in this paper we present SocialStory, a social platform for helping people to retrieve and filter materials available on the Internet and to compose and share personal experiences about crisis situations.