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Volumn , Issue , 2013, Pages 207-214

Predicting time-to-event from Twitter messages

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; FORECASTING; MACHINE LEARNING; SUPPORT VECTOR MACHINES;

EID: 84921915618     PISSN: 15687805     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (9)
  • 1
  • 4
    • 84874792989 scopus 로고    scopus 로고
    • Leveraging unscheduled event prediction through mining scheduled event tweets
    • In N. Roos, M. Winands, and J. Uiterwijk, editors, Maastricht, The Netherlands
    • F. Kunneman and A. Van den Bosch. Leveraging unscheduled event prediction through mining scheduled event tweets. In N. Roos, M. Winands, and J. Uiterwijk, editors, Proceedings of the 24th Benelux Conference on Artficial Intelligence, pages 147-154, Maastricht, The Netherlands, 2012.
    • (2012) Proceedings of the 24th Benelux Conference on Artficial Intelligence , pp. 147-154
    • Kunneman, F.1    Van Den-Bosch, A.2
  • 5
    • 47649108029 scopus 로고    scopus 로고
    • Manning, Prabhakar Raghavan, and Hinrich Schütze
    • Cambridge University Press, New York, NY, USA
    • Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze. Introduction to Information Retrieval. Cambridge University Press, New York, NY, USA, 2008.
    • (2008) Introduction to Information Retrieval
    • Christopher, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.