메뉴 건너뛰기




Volumn , Issue , 2013, Pages 253-264

Efficient sentiment correlation for large-scale demographics

Author keywords

Correlation; Sentiment analysis; Sentiment demographics

Indexed keywords

COMPRESSION TECHNIQUES; DEMOGRAPHIC GROUPS; EXPERIMENTAL EVALUATION; MULTIPLE TIME GRANULARITY; ONLINE OPERATIONS; PRUNING TECHNIQUES; SENTIMENT ANALYSIS; SENTIMENT DEMOGRAPHICS;

EID: 84880531367     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2463676.2465317     Document Type: Conference Paper
Times cited : (16)

References (21)
  • 1
    • 32344446365 scopus 로고    scopus 로고
    • Fast window correlations over uncooperative time series
    • R. Cole, D. Shasha, and X. Zhao. Fast window correlations over uncooperative time series. In KDD, pages 743-749, 2005.
    • (2005) KDD , pp. 743-749
    • Cole, R.1    Shasha, D.2    Zhao, X.3
  • 2
    • 84863766926 scopus 로고    scopus 로고
    • Mri: Meaningful interpretations of collaborative ratings
    • M. Das, S. Amer-Yahia, G. Das, and C. Yu. Mri: Meaningful interpretations of collaborative ratings. In VLDB, 2011.
    • (2011) VLDB
    • Das, M.1    Amer-Yahia, S.2    Das, G.3    Yu, C.4
  • 3
    • 0035629944 scopus 로고    scopus 로고
    • Is the property of being positively correlated transitive?
    • N. S. Eric Langford and M. Owens. Is the property of being positively correlated transitive? TAS, 55(4):322-325, 2001.
    • (2001) TAS , vol.55 , Issue.4 , pp. 322-325
    • Eric Langford, N.S.1    Owens, M.2
  • 5
    • 84880528920 scopus 로고    scopus 로고
    • Social sentiment index
    • IBM
    • IBM. Social sentiment index. IBM Smarter Analytics, 2012.
    • (2012) IBM Smarter Analytics
  • 7
    • 77954730855 scopus 로고    scopus 로고
    • Fast approximate correlation for massive time-series data
    • A. Mueen, S. Nath, and J. Liu. Fast approximate correlation for massive time-series data. In SIGMOD, pages 171-182, 2010.
    • (2010) SIGMOD , pp. 171-182
    • Mueen, A.1    Nath, S.2    Liu, J.3
  • 8
    • 84890614558 scopus 로고    scopus 로고
    • From tweets to polls: Linking text sentiment to public opinion time series
    • B. O'Connor, R. Balasubramanyan, B. R. Routledge, and N. A. Smith. From tweets to polls: Linking text sentiment to public opinion time series. In ICWSM, 2010.
    • (2010) ICWSM
    • O'Connor, B.1    Balasubramanyan, R.2    Routledge, B.R.3    Smith, N.A.4
  • 9
    • 33745631543 scopus 로고    scopus 로고
    • Streaming pattern discovery in multiple time-series
    • S. Papadimitriou, J. Sun, and C. Faloutsos. Streaming pattern discovery in multiple time-series. In VLDB, pages 697-708, 2005.
    • (2005) VLDB , pp. 697-708
    • Papadimitriou, S.1    Sun, J.2    Faloutsos, C.3
  • 10
    • 34748889498 scopus 로고    scopus 로고
    • Local correlation tracking in time series
    • S. Papadimitriou, J. Sun, and P. S. Yu. Local correlation tracking in time series. In ICDM, pages 456-465, 2006.
    • (2006) ICDM , pp. 456-465
    • Papadimitriou, S.1    Sun, J.2    Yu, P.S.3
  • 11
    • 78651265047 scopus 로고    scopus 로고
    • Detecting controversial events from twitter
    • A. M. Popescu and M. Pennacchiotti. Detecting controversial events from twitter. In CIKM, pages 1873-1876, 2010.
    • (2010) CIKM , pp. 1873-1876
    • Popescu, A.M.1    Pennacchiotti, M.2
  • 12
    • 29844444109 scopus 로고    scopus 로고
    • Braid: Stream mining through group lag correlations
    • Y. Sakurai, S. Papadimitriou, and C. Faloutsos. Braid: Stream mining through group lag correlations. In SIGMOD, pages 599-610, 2005.
    • (2005) SIGMOD , pp. 599-610
    • Sakurai, Y.1    Papadimitriou, S.2    Faloutsos, C.3
  • 13
    • 33744707682 scopus 로고
    • On the estimation of the correlation coefficient from grouped data
    • Sept.
    • N. L. Spruill and J. L. Gastwirth. On the estimation of the correlation coefficient from grouped data. JASA, 77(379):614-620, Sept. 1982.
    • (1982) JASA , vol.77 , Issue.379 , pp. 614-620
    • Spruill, N.L.1    Gastwirth, J.L.2
  • 14
    • 78951494937 scopus 로고    scopus 로고
    • Sentiment in twitter events
    • M. Thelwall, K. Buckley, and G. Paltoglou. Sentiment in twitter events. JASIST, 62(2):406-418, 2011.
    • (2011) JASIST , vol.62 , Issue.2 , pp. 406-418
    • Thelwall, M.1    Buckley, K.2    Paltoglou, G.3
  • 15
    • 80054073164 scopus 로고    scopus 로고
    • Survey on mining subjective data on the web
    • M. Tsytsarau and T. Palpanas. Survey on mining subjective data on the web. DAMI, 24(3):478-514, 2012.
    • (2012) DAMI , vol.24 , Issue.3 , pp. 478-514
    • Tsytsarau, M.1    Palpanas, T.2
  • 17
    • 84890668120 scopus 로고    scopus 로고
    • Predicting elections with twitter: What 140 characters reveal about political sentiment
    • A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe. Predicting elections with twitter: What 140 characters reveal about political sentiment. In ICWSM, 2010.
    • (2010) ICWSM
    • Tumasjan, A.1    Sprenger, T.O.2    Sandner, P.G.3    Welpe, I.M.4
  • 18
    • 50249092784 scopus 로고    scopus 로고
    • Monitoring the evolution of interests in the blogosphere
    • I. Varlamis, V. Vassalos, and A. Palaios. Monitoring the evolution of interests in the blogosphere. In ICDE Workshops, 2008.
    • (2008) ICDE Workshops
    • Varlamis, I.1    Vassalos, V.2    Palaios, A.3
  • 19
    • 84880545603 scopus 로고    scopus 로고
    • Run-length encoding applied to grid space storing and indexing
    • F. Wang, N. Helian, and Y. J. Yip. Run-length encoding applied to grid space storing and indexing. In ICWI, pages 461-471, 2002.
    • (2002) ICWI , pp. 461-471
    • Wang, F.1    Helian, N.2    Yip, Y.J.3
  • 20
    • 84880553629 scopus 로고    scopus 로고
    • A novel visualization method for distinction of web news sentiment
    • J. Zhang, Y. Kawai, T. Kumamoto, and K. Tanaka. A novel visualization method for distinction of web news sentiment. In WISE, 2009.
    • (2009) WISE
    • Zhang, J.1    Kawai, Y.2    Kumamoto, T.3    Tanaka, K.4
  • 21
    • 0141637082 scopus 로고    scopus 로고
    • Statstream: Statistical monitoring of thousands of data streams in real time
    • Y. Zhu and D. Shasha. Statstream: statistical monitoring of thousands of data streams in real time. In VLDB, pages 358-369, 2002.
    • (2002) VLDB , pp. 358-369
    • Zhu, Y.1    Shasha, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.