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|Title:||Identifying post-Disaster resource needs and availabilities from microblogs|
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017
Association for Computing Machinery, Inc
|Abstract:||Microblogging sites like Twitter are increasingly being used for aiding post-disaster relief operations. In such situations, identifying needs and availabilities of various types of resources is critical for effective coordination of the relief operations. We focus on the problem of automatically identifying tweets that inform about needs and availabilities of resources, termed as need-tweets and availability-tweets respectively. Traditionally, pattern matching techniques are adopted to identify such tweets. In this work, we present novel retrieval methodologies, based on word embeddings, for automatically identifying need-tweets and availability-tweets. Experiments over tweets posted during two recent disaster events show that the proposed methodologies outperform prior pattern-matching techniques. © 2017 Association for Computing Machinery.|
|Description:||Basu, Moumita; Ghosh, Kripabandhu, Department of Computer Science and Engineering, IIT, Kanpur, India; Das, Somenath, Department of Computer Science and Technology, IIEST, Shibpur, India; Dey, Ratnadeep, Department of Computer Science and Technology, IIEST, Shibpur, India; Bandyopadhyay, Somprakash, Social Informatics Research Group, IIM, Calcutta, India; Ghosh, Saptarshi, Department of Computer Science and Engineering, IIT, Kharagpur, India|
DOI - 10.1145/3110025.3110036
|Appears in Collections:||Management Information Systems|
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