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Volumn , Issue , 2015, Pages 1185-1188

Sentiment analysis on microblogs for natural disasters management: A study on the 2014 Genoa floodings

Author keywords

[No Author keywords available]

Indexed keywords

DISASTER PREVENTION; INFORMATION USE; NATURAL LANGUAGE PROCESSING SYSTEMS; WORLD WIDE WEB;

EID: 84961638139     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2740908.2741727     Document Type: Conference Paper
Times cited : (47)

References (13)
  • 1
    • 85034054192 scopus 로고    scopus 로고
    • Sentiwordnet 3. 0: An enhanced lexical resource for sentiment analysis and opinion mining
    • S. Baccianella, A. Esuli, and F. Sebastiani. SentiWordNet 3. 0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining. In LREC, volume 10, pages 2200-2204, 2010.
    • (2010) LREC , vol.10 , pp. 2200-2204
    • Baccianella, S.1    Esuli, A.2    Sebastiani, F.3
  • 6
    • 79957518366 scopus 로고    scopus 로고
    • Discovery of unusual regional social activities using geo-tagged microblogs
    • R. Lee, S. Wakamiya, and K. Sumiya. Discovery of unusual regional social activities using geo-tagged microblogs. World Wide Web, 14 (4): 321-349, 2011.
    • (2011) World Wide Web , vol.14 , Issue.4 , pp. 321-349
    • Lee, R.1    Wakamiya, S.2    Sumiya, K.3
  • 8
    • 85028156346 scopus 로고    scopus 로고
    • Twitter as a corpus for sentiment analysis and opinion mining
    • A. Pak and P. Paroubek. Twitter as a corpus for sentiment analysis and opinion mining. In LREC, 2010.
    • (2010) LREC
    • Pak, A.1    Paroubek, P.2
  • 9
    • 84874703151 scopus 로고    scopus 로고
    • A multidimensional approach for detecting irony in twitter
    • A. Reyes, P. Rosso, and T. Veale. A multidimensional approach for detecting irony in twitter. Language Resources and Evaluation, 47 (1): 239-268, 2013.
    • (2013) Language Resources and Evaluation , vol.47 , Issue.1 , pp. 239-268
    • Reyes, A.1    Rosso, P.2    Veale, T.3
  • 13
    • 74049157681 scopus 로고    scopus 로고
    • Using the revised dictionary of affect in language to quantify the emotional undertones of samples of natural language 1, 2
    • C. Whissell. Using the revised dictionary of affect in language to quantify the emotional undertones of samples of natural language 1, 2. Psychological reports, 105 (2): 509-521, 2009.
    • (2009) Psychological Reports , vol.105 , Issue.2 , pp. 509-521
    • Whissell, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.