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Mining Help Intent on Twitter During Disasters via Transfer Learning with Sparse Coding · Study

WorkMining Help Intent on Twitter During Disasters via Transfer Learning with Sparse Coding

Bahman Pedrood2018

Work2018

Mining Help Intent on Twitter During Disasters via Transfer Learning with Sparse Coding

Bahman Pedrood · Hemant Purohit

11 citations·0/0 files stored·Lecture notes in computer science

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Public Relations and Crisis Communication Disaster Management and Resilience Text and Document Classification Technologies

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References

2015Processing Social Media Messages in Mass Emergency 2014Proceedings of the 11th International ISCRAM Conference 2015What to Expect When the Unexpected Happens 2011Microblogging after a major disaster in China 2010Pass It On?: Retweeting in Mass Emergency 2013Practical extraction of disaster-relevant information from social media 2014Online public communications by police & fire services during the 2012 Hurricane Sandy 2016Big Crisis Data

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2020Social Media Mining for Disaster Management and Community Resilience

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2020Social Media Mining for Disaster Management and Community Resiliencechapter · 9 shared references 2018Social-EOC: Serviceability Model to Rank Social Media Requests for Emergency Operation Centersother · 8 shared references 2020Ranking and grouping social media requests for emergency services using serviceability modelarticle · 8 shared references 2017The Signals and Noiseother · 7 shared references 2019Mitigating information overload in social media during conflicts and crises: design and evaluation of a cross-platform alerting systemarticle · 6 shared references 2014Processing Social Media Messages in Mass Emergency: A Surveypreprint · 6 shared references

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Year2018

Typeother

Published2018-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations11

Files0 public / 0

ShelfPublic Relations and Crisis Communication

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doi10.1007/978-3-319-93372-6_16

openalex_workW2807945507

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