메뉴 건너뛰기




Volumn , Issue , 2013, Pages 661-672

A unified model for stable and temporal topic detection from social media data

Author keywords

[No Author keywords available]

Indexed keywords

LINGUISTIC FEATURES; ONLINE SOCIAL MEDIAS; REGULARIZATION FRAMEWORK; SOCIAL MEDIA DATUM; SPATIAL INFORMATIONS; SPATIAL REGULARIZATIONS; TRADITIONAL APPROACHES; USER-GENERATED CONTENT;

EID: 84881325359     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2013.6544864     Document Type: Conference Paper
Times cited : (77)

References (29)
  • 1
    • 0032283421 scopus 로고    scopus 로고
    • On-line new event detection and tracking
    • J. Allan, R. Papka, and V. Lavrenko. On-line new event detection and tracking. In SIGIR, pages 37-45, 1999.
    • (1999) SIGIR , pp. 37-45
    • Allan, J.1    Papka, R.2    Lavrenko, V.3
  • 2
    • 67049100147 scopus 로고    scopus 로고
    • On-line lda: Adaptive topic models for mining text streams with applications to topic detection and tracking
    • L. AlSumait, D. Barbara, and C. Domeniconi. On-line lda: Adaptive topic models for mining text streams with applications to topic detection and tracking. In IEEE Conf. on Data Mining, pages 993-1022, 2008.
    • (2008) IEEE Conf. On Data Mining , pp. 993-1022
    • AlSumait, L.1    Barbara, D.2    Domeniconi, C.3
  • 3
    • 34250772913 scopus 로고    scopus 로고
    • Dynamic topic models
    • D. M. Blei and J. D. Lafferty. Dynamic topic models. In ICML, pages 113-120, 2006.
    • (2006) ICML , pp. 113-120
    • Blei, D.M.1    Lafferty, J.D.2
  • 5
    • 8644219914 scopus 로고    scopus 로고
    • Query based event extraction along a timeline
    • H. L. Chieu and Y. K. Lee. Query based event extraction along a timeline. In SIGIR, 2004.
    • (2004) SIGIR
    • Chieu, H.L.1    Lee, Y.K.2
  • 6
    • 84881320341 scopus 로고    scopus 로고
    • Evolutionary taxonomy construction from dynamic tag space
    • B. Cui, J. Yao, G. Cong, and Y. Huang. Evolutionary taxonomy construction from dynamic tag space. In WISE, 2010.
    • (2010) WISE
    • Cui, B.1    Yao, J.2    Cong, G.3    Huang, Y.4
  • 7
    • 84876805060 scopus 로고    scopus 로고
    • Finding bursty topics from microblogs
    • Q. Diao, J. Jiang, F. Zhu, and E.-P. Lim. Finding bursty topics from microblogs. In ACL, pages 536-544, 2012.
    • (2012) ACL , pp. 536-544
    • Diao, Q.1    Jiang, J.2    Zhu, F.3    Lim, E.-P.4
  • 8
    • 72749091506 scopus 로고    scopus 로고
    • Topic evlolution in a stream of documents
    • A. Gohr and A. Hinneburg. Topic evlolution in a stream of documents. In SIAM, 2009.
    • (2009) SIAM
    • Gohr, A.1    Hinneburg, A.2
  • 9
    • 77956211453 scopus 로고    scopus 로고
    • Topic dynamics: An alternative model of 'bursts' in streams of topics
    • D. He and D. Parker. Topic dynamics: An alternative model of 'bursts' in streams of topics. In KDD, 2010.
    • (2010) KDD
    • He, D.1    Parker, D.2
  • 10
    • 85026972772 scopus 로고    scopus 로고
    • Probabilistic latent semantic analysis
    • T. Hofmann. Probabilistic latent semantic analysis. In UAI, 1999.
    • (1999) UAI
    • Hofmann, T.1
  • 11
    • 85026972772 scopus 로고    scopus 로고
    • Probabilistic latent semantic indexing
    • T. Hofmann. Probabilistic latent semantic indexing. In SIGIR, 1999.
    • (1999) SIGIR
    • Hofmann, T.1
  • 12
    • 79956000165 scopus 로고    scopus 로고
    • Empirical study of topic modeling in twitter
    • L. Hong and B. D.Davison. Empirical study of topic modeling in twitter. In SOMA, 2010.
    • (2010) SOMA
    • Hong, L.1    Davison, B.D.2
  • 13
    • 80052655724 scopus 로고    scopus 로고
    • Tracking trends: Incorporating term volume into temporal topic models
    • L. Hong, D. Yin, J. Guo, and B. D. Davison. Tracking trends: Incorporating term volume into temporal topic models. In KDD, 2011.
    • (2011) KDD
    • Hong, L.1    Yin, D.2    Guo, J.3    Davison, B.D.4
  • 15
    • 0242540464 scopus 로고    scopus 로고
    • Bursty and hierachical structure in streams
    • J. Kleinberg. Bursty and hierachical structure in streams. In KDD, pages 91-101, 2002.
    • (2002) KDD , pp. 91-101
    • Kleinberg, J.1
  • 16
    • 71049177089 scopus 로고    scopus 로고
    • Meme-tracking and the dynamics of the news cycle
    • J. Leskovec, L. Backstrom, and J. Kleinberg. Meme-tracking and the dynamics of the news cycle. In KDD, pages 497-506, 2009.
    • (2009) KDD , pp. 497-506
    • Leskovec, J.1    Backstrom, L.2    Kleinberg, J.3
  • 17
    • 77956200065 scopus 로고    scopus 로고
    • Pet: A statistical model for popular events tracking in soical communities
    • C. X. Lin, B. Zhao, Q. Mei, and J. Han. Pet: A statistical model for popular events tracking in soical communities. In KDD, 2010.
    • (2010) KDD
    • Lin, C.X.1    Zhao, B.2    Mei, Q.3    Han, J.4
  • 18
    • 57349152312 scopus 로고    scopus 로고
    • Topic model with network regularization
    • Q. Mei, D. Cai, D. Zhang, and C. Zhai. Topic model with network regularization. In WWW, pages 101-110, 2008.
    • (2008) WWW , pp. 101-110
    • Mei, Q.1    Cai, D.2    Zhang, D.3    Zhai, C.4
  • 19
    • 29244457315 scopus 로고    scopus 로고
    • Discovering evolutionary theme patterns from text: An exploration of temporal text mining
    • Q. Mei and C. Zhai. Discovering evolutionary theme patterns from text: An exploration of temporal text mining. In KDD, pages 198-207, 2005.
    • (2005) KDD , pp. 198-207
    • Mei, Q.1    Zhai, C.2
  • 20
    • 33745624002 scopus 로고    scopus 로고
    • Parameter free bursty events detection in text streams
    • G. Pui, C. Fung, J. X. Yu, P. S. Yu, and H. Lu. Parameter free bursty events detection in text streams. In VLDB, pages 181-192, 2005.
    • (2005) VLDB , pp. 181-192
    • Pui, G.1    Fung, C.2    Yu, J.X.3    Yu, P.S.4    Lu, H.5
  • 22
    • 84881323685 scopus 로고    scopus 로고
    • S.Wasserman and K.Faust. Cambridge Univeristy, 1994
    • S.Wasserman and K.Faust. Cambridge Univeristy, 1994.
  • 23
    • 33749565782 scopus 로고    scopus 로고
    • Topics over time: A non-markov continueous-time model of topical trends
    • X. Wang and A. McCallum. Topics over time: A non-markov continueous-time model of topical trends. In KDD, pages 424-433, 2006.
    • (2006) KDD , pp. 424-433
    • Wang, X.1    McCallum, A.2
  • 24
    • 36849036336 scopus 로고    scopus 로고
    • Mining correlated bursty topic patterns from coordinated text streams
    • X. Wang, C. Zhai, X. Hu, and R. Sproat. Mining correlated bursty topic patterns from coordinated text streams. In KDD, pages 784-793, 2007.
    • (2007) KDD , pp. 784-793
    • Wang, X.1    Zhai, C.2    Hu, X.3    Sproat, R.4
  • 25
    • 0032264627 scopus 로고    scopus 로고
    • A study on retrospective and on-line event detection
    • Y. Yang, T. Pierce, and J. Carbonell. A study on retrospective and on-line event detection. In SIGIR, 1998.
    • (1998) SIGIR
    • Yang, Y.1    Pierce, T.2    Carbonell, J.3
  • 26
    • 85167407775 scopus 로고    scopus 로고
    • Temporal and social context based burst detection from folksonomies
    • J. Yao, B. Cui, Y. Huang, and X. Jin. Temporal and social context based burst detection from folksonomies. In AAAI, 2010.
    • (2010) AAAI
    • Yao, J.1    Cui, B.2    Huang, Y.3    Jin, X.4
  • 27
    • 77952759151 scopus 로고    scopus 로고
    • Detecting bursty events in collaborative tagging systems
    • J. Yao, B. Cui, Y. Huang, and Y. Zhou. Detecting bursty events in collaborative tagging systems. In ICDE, pages 780-783, 2010.
    • (2010) ICDE , pp. 780-783
    • Yao, J.1    Cui, B.2    Huang, Y.3    Zhou, Y.4
  • 28
    • 36348992495 scopus 로고    scopus 로고
    • Temporal and information flow based event detection from social text streams
    • Q. Zhao, P. Mitra, and B. Chen. Temporal and information flow based event detection from social text streams. In AAAI, pages 1501-1506, 2007.
    • (2007) AAAI , pp. 1501-1506
    • Zhao, Q.1    Mitra, P.2    Chen, B.3
  • 29
    • 84995774405 scopus 로고    scopus 로고
    • Comparing twitter and traditional media using topic models
    • W. X. Zhao, J. Jiang, J. Weng, J. He, E.-P. Lim, H. Yan, and X. Li. Comparing twitter and traditional media using topic models. In ECIR, pages 338-349, 2011.
    • (2011) ECIR , pp. 338-349
    • Zhao, W.X.1    Jiang, J.2    Weng, J.3    He, J.4    Lim, E.-P.5    Yan, H.6    Li, X.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.