SCOPUS 정보 검색 플랫폼

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5478 LNCS, Issue , 2009, Pages 776-780

Topic and trend detection in text collections using latent dirichlet allocation

(3) Bolelli, Levent a Ertekin, Şeyda b Giles, C Lee c

a GOOGLE INC (United States)

b The Pennsylvania State University (United States)

c PENNSYLVANIA STATE UNIVERSITY (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACADEMIC PAPER; CITESEER; DOCUMENT COLLECTION; GENERATIVE MODEL; ITERATIVE FASHION; LATENT DIRICHLET ALLOCATION; TEMPORAL ORDERING; TEXT COLLECTION; TIME SEGMENTS; TOPIC DISCOVERY; TOPIC MODEL; TREND DETECTION;

INFORMATION SERVICES; MINING;

INFORMATION RETRIEVAL;

EID: 67650705495 PISSN: 03029743 EISSN: 16113349 Source Type: Book Series
DOI: 10.1007/978-3-642-00958-7_84 Document Type: Conference Paper

Times cited : (94)

References (7)

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- Latent dirichlet allocation
- Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. Journal of Machine Learning Research 3, 993-1022 (2003)
- (2003) Journal of Machine Learning Research 3 , pp. 993-1022
- Blei, D.M.¹ Ng, A.Y.² Jordan, M.I.³

2
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- Probabilistic author-topic models for information discovery
- KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
- Steyvers, M., Smyth, P., Rosen-Zvi, M., Griffiths, T.: Probabilistic author-topic models for information discovery. In: KDD 2004, pp. 306-315 (2004) (Pubitemid 40114940)
- (2004) KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pp. 306-315
- Steyvers, M.¹ Smyth, P.² Rosen-Zvi, M.³ Griffiths, T.⁴

3
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- The author-topic model for authors and documents
- Rosen-Zvi, M., Griffiths, T., Steyvers, M., Smyth, P.: The author-topic model for authors and documents. In: UAI 2004, pp. 487-494 (2004)
- (2004) UAI 2004 , pp. 487-494
- Rosen-Zvi, M.¹ Griffiths, T.² Steyvers, M.³ Smyth, P.⁴

4
- 0003223784
- Multi-label text classification with a mixture model trained by EM
- McCallum, A.: Multi-label text classification with a mixture model trained by EM. In: AAAI Workshop on Text Learning (1999)
- (1999) AAAI Workshop on Text Learning
- McCallum, A.¹

5
- 33749565782
- Topics over Time: A non-markov continuous-time model of topical trends
- KDD 2006: Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
- Wang, X., McCallum, A.: Topics over time: a non-markov continuous-time model of topical trends. In: KDD 2006, pp. 424-433. ACM Press, New York (2006) (Pubitemid 44535539)
- (2006) Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , vol.2006 , pp. 424-433
- Wang, X.¹ McCallum, A.²

6
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- Dynamic topic models
- ACM Press, New York
- Blei, D.M., Lafferty, J.D.: Dynamic topic models. In: ICML 2006: Proceedings of the 23rd international conference on Machine learning, pp. 113-120. ACM Press, New York (2006)
- (2006) ICML 2006: Proceedings of the 23rd International Conference on Machine learning , pp. 113-120
- Blei, D.M.¹ Lafferty, J.D.²

7
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- A clustering method for web data with multi-type interrelated components
- DOI 10.1145/1242572.1242725, 16th International World Wide Web Conference, WWW2007
- Bolelli, L., Ertekin, S., Zhou, D., Giles, C.L.: A clustering method for web data with multi-type interrelated components. In: WWW 2007, pp. 1121-1122. ACM Press, New York (2007) (Pubitemid 47582342)
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- Bolelli, L.¹ Ertekin, S.² Zhou, D.³ Giles, C.L.⁴

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