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Volumn , Issue , 2016, Pages 1638-1643

Twitter as a lifeline: Human-annotated Twitter corpora for NLP of crisis-related messages

Author keywords

Disaster response; Natural language processing; Supervised classification; Twitter

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISASTERS; EMERGENCY SERVICES; LEARNING ALGORITHMS; LEARNING SYSTEMS; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SUPERVISED LEARNING;

EID: 85031928421     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (218)

References (17)
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    • Twitter adoption and use in mass convergence and emergency events
    • Hughes, A. L. and Palen, L. (2009). Twitter adoption and use in mass convergence and emergency events. International Journal of Emergency Management, 6(3-4):248-260.
    • (2009) International Journal of Emergency Management , vol.6 , Issue.3-4 , pp. 248-260
    • Hughes, A.L.1    Palen, L.2
  • 7
    • 84905650414 scopus 로고    scopus 로고
    • Extracting information nuggets from disaster-related messages in social media
    • Baden-Baden, Germany
    • Imran, M., Elbassuoni, S. M., Castillo, C., Diaz, F., and Meier, P. (2013). Extracting information nuggets from disaster-related messages in social media. Proc. of IS-CRAM, Baden-Baden, Germany.
    • (2013) Proc. of IS-CRAM
    • Imran, M.1    Elbassuoni, S.M.2    Castillo, C.3    Diaz, F.4    Meier, P.5
  • 9
    • 84937924932 scopus 로고    scopus 로고
    • Processing social media messages in mass emergency: A survey
    • Imran, M., Castillo, C., Diaz, F., and Vieweg, S. (2015). Processing social media messages in mass emergency: A survey. ACM Computing Surveys (CSUR), 47(4):67.
    • (2015) ACM Computing Surveys (CSUR) , vol.47 , Issue.4 , pp. 67
    • Imran, M.1    Castillo, C.2    Diaz, F.3    Vieweg, S.4
  • 12
    • 85028156346 scopus 로고    scopus 로고
    • Twitter as a corpus for sentiment analysis and opinion mining
    • Pak, A. and Paroubek, P. (2010). Twitter as a corpus for sentiment analysis and opinion mining. In LREC, volume 10, pages 1320-1326.
    • (2010) LREC , vol.10 , pp. 1320-1326
    • Pak, A.1    Paroubek, P.2
  • 13
    • 84892770839 scopus 로고    scopus 로고
    • Emergency-relief coordination on social media: Automatically matching resource requests and offers
    • Purohit, H., Castillo, C., Diaz, F., Sheth, A., and Meier, P. (2013). Emergency-relief coordination on social media: Automatically matching resource requests and offers. First Monday, 19 (1).
    • (2013) First Monday , vol.19 , Issue.1
    • Purohit, H.1    Castillo, C.2    Diaz, F.3    Sheth, A.4    Meier, P.5
  • 14
    • 84858376012 scopus 로고    scopus 로고
    • Unsupervised modeling of twitter conversations
    • Ritter, A., Cherry, C., and Dolan, B. (2010). Unsupervised modeling of twitter conversations. In Proc of NAACL.
    • (2010) Proc of NAACL
    • Ritter, A.1    Cherry, C.2    Dolan, B.3
  • 16
    • 84914128953 scopus 로고    scopus 로고
    • Integrating social media communications into the rapid assessment of sudden onset disasters
    • Springer
    • Vieweg, S., Castillo, C., and Imran, M. (2014). Integrating social media communications into the rapid assessment of sudden onset disasters. In Social Informatics, pages 444-461. Springer.
    • (2014) Social Informatics , pp. 444-461
    • Vieweg, S.1    Castillo, C.2    Imran, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.