Identifying Post-Disaster Resource Needs and Availabilities from Microblogs

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 id...

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Veröffentlicht in:2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) S. 427 - 430
Hauptverfasser: Basu, Moumita, Ghosh, Kripabandhu, Das, Somenath, Dey, Ratnadeep, Bandyopadhyay, Somprakash, Ghosh, Saptarshi
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: New York, NY, USA ACM 31.07.2017
Schriftenreihe:ACM Conferences
Schlagworte:
Availability-tweets
Disasters
Information systems
Information systems > Information retrieval
Information systems > Information retrieval > Information retrieval query processing
Information systems > Information retrieval > Retrieval models and ranking
Information systems > Information retrieval > Retrieval tasks and goals
Information systems > Information retrieval > Retrieval tasks and goals > Document filtering
Information systems > Information retrieval > Retrieval tasks and goals > Information extraction
Information systems > Information retrieval > Specialized information retrieval
Information systems > Information retrieval > Specialized information retrieval > Environment-specific retrieval
Information systems > Information retrieval > Specialized information retrieval > Environment-specific retrieval > Web and social media search
Information systems > Information systems applications
Information systems > Information systems applications > Data mining
Microblogs
Need-tweets
Word embeddings
Word2vec
Word2vec
Microblogs
Disasters
Need-tweets
Word embeddings
Availability-tweets
ISBN:1450349935, 9781450349932
ISSN:2473-991X
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Zusammenfassung: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.
ISBN:1450349935
9781450349932
ISSN:2473-991X
DOI:10.1145/3110025.3110036