메뉴 건너뛰기




Volumn , Issue , 2009, Pages 957-966

Detecting topic evolution in scientific literature: How can citations help?

Author keywords

Citations; Inheritance topic model; Topic evolution

Indexed keywords

BAG OF WORDS; CITATION NETWORKS; LATENT DIRICHLET ALLOCATION; LEARNING FRAMEWORKS; RESEARCH PAPERS; SCIENTIFIC LITERATURE; STATE-OF-THE-ART APPROACH; TOPIC MODEL;

EID: 74549121414     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1645953.1646076     Document Type: Conference Paper
Times cited : (166)

References (33)
  • 1
    • 61849186141 scopus 로고    scopus 로고
    • Topic detection and tracking. event-based information organization
    • J. Allan. Topic detection and tracking. event-based information organization. Kluwer Academic Publishers, 2002.
    • (2002) Kluwer Academic Publishers
    • Allan, J.1
  • 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 et al. On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking. In ICDM'08.
    • ICDM'08
    • AlSumait, L.1
  • 6
    • 74549220243 scopus 로고    scopus 로고
    • Finding Topic Trends in Digital Libraries
    • L. Bolelli et al. Finding Topic Trends in Digital Libraries. In JCDL'09.
    • JCDL'09
    • Bolelli, L.1
  • 7
    • 74549177427 scopus 로고    scopus 로고
    • Topic and Trend Detection in Text Collections using Latent Dirichlet Allocation
    • L. Bolelli et al. Topic and Trend Detection in Text Collections using Latent Dirichlet Allocation. In ECIR'09.
    • ECIR'09
    • Bolelli, L.1
  • 9
    • 78651315163 scopus 로고    scopus 로고
    • Story link detection and new event detection are asymmetric
    • F. Chen et al. Story link detection and new event detection are asymmetric. HLT-NAACL 2003.
    • HLT-NAACL 2003
    • Chen, F.1
  • 10
    • 17444392177 scopus 로고    scopus 로고
    • The missing link - a probabilitstic model of document content and hypertext connectivity
    • D. Cohn and T. Hofmann. The missing link - a probabilitstic model of document content and hypertext connectivity. In NIPS'01.
    • NIPS'01
    • Cohn, D.1    Hofmann, T.2
  • 11
    • 77956550278 scopus 로고    scopus 로고
    • Unsupervised prediction of citation influences
    • L. Dietz et al. Unsupervised prediction of citation influences. In ICML'07.
    • ICML'07
    • Dietz, L.1
  • 12
    • 1842637512 scopus 로고    scopus 로고
    • Mixed-membership models of scientific publications
    • E. Erosheva et al. Mixed-membership models of scientific publications. PNAS 2004.
    • PNAS 2004
    • Erosheva, E.1
  • 13
    • 79952383749 scopus 로고    scopus 로고
    • Topic Evolution in a Stream of Documents
    • A. Gohr and A. Hinneburg. Topic Evolution in a Stream of Documents. In SDM'09.
    • SDM'09
    • Gohr, A.1    Hinneburg, A.2
  • 16
    • 36849020034 scopus 로고    scopus 로고
    • Detecting research topics via the correlation between graphs and texts
    • Y. Jo et al. Detecting research topics via the correlation between graphs and texts. In SIGKDD'07.
    • SIGKDD'07
    • Jo, Y.1
  • 17
    • 34247210745 scopus 로고    scopus 로고
    • Bibliometric impact measures leveraging topic analysis
    • G. Mann et al. Bibliometric impact measures leveraging topic analysis. In JCDL'06.
    • JCDL'06
    • Mann, G.1
  • 18
    • 38349172091 scopus 로고    scopus 로고
    • Topic and role discovery in social networks with experiments on enron and academic email
    • A. McCallum et al. Topic and role discovery in social networks with experiments on enron and academic email. Journal of Artificial Intelligence Research 2007.
    • Journal of Artificial Intelligence Research 2007
    • McCallum, A.1
  • 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 SIGKDD'05.
    • SIGKDD'05
    • Mei, Q.1    Zhai, C.2
  • 20
    • 74549154320 scopus 로고    scopus 로고
    • A probabilistic approach to spatiotemporal theme pattern mining on weblogs
    • Q. Mei et al. A probabilistic approach to spatiotemporal theme pattern mining on weblogs. In WWW'06.
    • WWW'06
    • Mei, Q.1
  • 21
    • 70349360410 scopus 로고    scopus 로고
    • Topic modeling with network regularization
    • Q. Mei et al. Topic modeling with network regularization. In WWW'08.
    • WWW'08
    • Mei, Q.1
  • 22
    • 74549165285 scopus 로고    scopus 로고
    • Anticipating annotations and emerging trends in biomedical literature
    • F. Morchen et al. Anticipating annotations and emerging trends in biomedical literature. In SIGKDD'08.
    • SIGKDD'08
    • Morchen, F.1
  • 23
    • 85071097900 scopus 로고    scopus 로고
    • Tracking dynamics of topic trends using a finite mixture model
    • S. Morinaga and K. Yamanishi. Tracking dynamics of topic trends using a finite mixture model. In SIGKDD'04.
    • SIGKDD'04
    • Morinaga, S.1    Yamanishi, K.2
  • 24
    • 74549122316 scopus 로고    scopus 로고
    • Joint latent topic models for text and citations
    • R. Nallapati et al. Joint latent topic models for text and citations. In SIGKDD'08.
    • SIGKDD'08
    • Nallapati, R.1
  • 25
    • 85084775721 scopus 로고    scopus 로고
    • Statistical entity-topic models
    • D. Newman et al. Statistical entity-topic models. In SIGKDD'06.
    • SIGKDD'06
    • Newman, D.1
  • 28
    • 74549136116 scopus 로고    scopus 로고
    • Monic: Modeling and monitoring cluster transitions
    • M. Spiliopoulou et al. Monic: modeling and monitoring cluster transitions. In SIGKDD'06.
    • SIGKDD'06
    • Spiliopoulou, M.1
  • 29
    • 85077712712 scopus 로고    scopus 로고
    • Probabilistic author-topic models for information discovery
    • M. Steyvers et al. Probabilistic author-topic models for information discovery. In SIGKDD'04.
    • SIGKDD'04
    • Steyvers, M.1
  • 30
    • 14344256958 scopus 로고    scopus 로고
    • Hierarchical dirichlet processes
    • Technical report, UC Berkeley Statistics TR-653
    • Y. Teh et al. Hierarchical dirichlet processes. In Technical report, UC Berkeley Statistics TR-653, 2004.
    • (2004)
    • Teh, Y.1
  • 31
    • 74549223446 scopus 로고    scopus 로고
    • Continuous time dynamic topic models
    • C. Wang et al. Continuous time dynamic topic models. In UAI'08.
    • UAI'08
    • Wang, C.1
  • 32
    • 3042824043 scopus 로고    scopus 로고
    • A study of smoothing methods for language models applied to information retrieval
    • C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to information retrieval. TOIS 2004.
    • TOIS 2004
    • Zhai, C.1    Lafferty, J.2
  • 33
    • 34547640842 scopus 로고    scopus 로고
    • Topic evolution and social interactions: How authors effect research
    • D. Zhou et al. Topic evolution and social interactions: How authors effect research. In CIKM'06.
    • CIKM'06
    • Zhou, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.