-
1
-
-
84890724114
-
Characterizing microblogs with topic models
-
D. Ramage, S. Dumais, and D. Liebling, "Characterizing microblogs with topic models," in Proc. Int. AAAI Conf. Weblogs Social Media, 2010, vol. 5, no. 4, pp. 130-137.
-
(2010)
Proc. Int. AAAI Conf. Weblogs Social Media
, vol.5
, Issue.4
, pp. 130-137
-
-
Ramage, D.1
Dumais, S.2
Liebling, D.3
-
2
-
-
84995774405
-
Comparing Twitter and traditional media using topic models
-
W. Zhao, J. Jiang, J. Weng, J. He, E. Lim, H. Yan, and X. Li, "Comparing Twitter and traditional media using topic models," in Proc. 33rd Eur. Conf. Adv. Inf. Retrieval, 2011, pp. 338-349.
-
(2011)
Proc. 33rd Eur. Conf. Adv. Inf. Retrieval
, pp. 338-349
-
-
Zhao, W.1
Jiang, J.2
Weng, J.3
He, J.4
Lim, E.5
Yan, H.6
Li, X.7
-
3
-
-
72449198045
-
Named entity recognition in query
-
J. Guo, G. Xu, X. Cheng, and H. Li, "Named entity recognition in query," in Proc. 32nd Int. ACM SIGIR Conf. Res. Develop. Inf. Retrieval, 2009, pp. 267-274.
-
(2009)
Proc. 32nd Int. ACM SIGIR Conf. Res. Develop. Inf. Retrieval
, pp. 267-274
-
-
Guo, J.1
Xu, G.2
Cheng, X.3
Li, H.4
-
4
-
-
77950897279
-
TwitterRank: Finding topicsensitive influential twitterers
-
J. Weng, E. Lim, J. Jiang, and Q. He, "TwitterRank: Finding topicsensitive influential twitterers," in Proc. 3rd ACM Int. Conf. Web Search Data Mining, 2010, pp. 261-270.
-
(2010)
Proc. 3rd ACM Int. Conf Web Search Data Mining
, pp. 261-270
-
-
Weng, J.1
Lim, E.2
Jiang, J.3
He, Q.4
-
5
-
-
77956200065
-
PET: A statistical model for popular events tracking in social communities
-
C. X. Lin, B. Zhao, Q. Mei, and J. Han, "PET: A statistical model for popular events tracking in social communities," in Proc. 16th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2010, pp. 929-938.
-
(2010)
Proc. 16th ACM SIGKDD Int. Conf. Knowl Discovery Data Mining
, pp. 929-938
-
-
Lin, C.X.1
Zhao, B.2
Mei, Q.3
Han, J.4
-
7
-
-
0141607824
-
Latent Dirichlet allocation
-
D. Blei, A. Ng, and M. Jordan, "Latent Dirichlet allocation," J. Mach. Learning Res., vol. 3, pp. 993-1022, 2003.
-
(2003)
J. Mach. Learning Res.
, vol.3
, pp. 993-1022
-
-
Blei, D.1
Ng, A.2
Jordan, M.3
-
11
-
-
84874082703
-
Dynamic multi-relational Chinese restaurant process for analyzing influences on users in social media
-
H. Lakkaraju, I. Bhattacharya, and C. Bhattacharyya, "Dynamic multi-relational Chinese restaurant process for analyzing influences on users in social media," in Proc. IEEE 12th Int. Conf. Data Mining, 2012, pp. 389-398.
-
(2012)
Proc. IEEE 12th Int. Conf Data Mining
, pp. 389-398
-
-
Lakkaraju, H.1
Bhattacharya, I.2
Bhattacharyya, C.3
-
12
-
-
0033886806
-
Text classification from labeled and unlabeled documents using em
-
K. Nigam, A. McCallum, S. Thrun, and T. Mitchell, "Text classification from labeled and unlabeled documents using EM," Mach. learning, vol. 39, no. 2, pp. 103-134, 2000.
-
(2000)
Mach. Learning
, vol.39
, Issue.2
, pp. 103-134
-
-
Nigam, K.1
McCallum, A.2
Thrun, S.3
Mitchell, T.4
-
13
-
-
78049522900
-
Hidden topic Markov models
-
A. Gruber, M. Rosen Zvi, and Y. Weiss, "Hidden topic Markov models," in Proc. Int. Conf. Artif. Intell. Statist., 2007, pp. 163-170.
-
(2007)
Proc. Int. Conf. Artif. Intell. Statist.
, pp. 163-170
-
-
Gruber, A.1
Rosen Zvi, M.2
Weiss, Y.3
-
14
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
-
S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell., pp. 721-741, 1984.
-
(1984)
IEEE Trans. Pattern Anal. Mach. Intell.
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
15
-
-
0033225865
-
An introduction to variational methods for graphical models
-
M. I. Jordan, Z. Ghahramani, T. S. Jaakkola, and L. K. Saul, An Introduction to Variational Methods for Graphical Models. Machine learning, vol. 37, no. 2, pp. 183-233, 1999.
-
(1999)
Machine Learning
, vol.37
, Issue.2
, pp. 183-233
-
-
Jordan, M.I.1
Ghahramani, Z.2
Jaakkola, T.S.3
Saul, L.K.4
-
16
-
-
84862273721
-
Online inference of topics with latent Dirichlet allocation
-
K. R. Canini, L. Shi, and T. L. Griffiths, "Online inference of topics with latent Dirichlet allocation," in Proc. Int. Conf. Artif. Intell. Statist., 2009, pp. 65-72.
-
(2009)
Proc. Int. Conf. Artif. Intell. Statist.
, pp. 65-72
-
-
Canini, K.R.1
Shi, L.2
Griffiths, T.L.3
-
17
-
-
84989525001
-
Indexing by latent semantic analysis
-
S. Deerwester, S. Dumais, G. Furnas, T. Landauer, and R. Harshman, "Indexing by latent semantic analysis," J. Amer. Soc. Inf. Sci., vol. 41, no. 6, pp. 391-407, 1990.
-
(1990)
J. Amer. Soc. Inf. Sci.
, vol.41
, Issue.6
, pp. 391-407
-
-
Deerwester, S.1
Dumais, S.2
Furnas, G.3
Landauer, T.4
Harshman, R.5
-
18
-
-
84861170800
-
Probabilistic topic models
-
D. Blei, "Probabilistic topic models," Commun. ACM, vol. 55, no. 4, pp. 77-84, 2012.
-
(2012)
Commun. ACM
, vol.55
, Issue.4
, pp. 77-84
-
-
Blei, D.1
-
20
-
-
85162543244
-
Improving topic coherence with regularized topic models
-
D. Newman, E.V. Bonilla, and W. Buntine, "Improving topic coherence with regularized topic models," in Proc. Adv. Neural Inf. Process. Syst., 2011, pp. 496-504.
-
(2011)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 496-504
-
-
Newman, D.1
Bonilla, E.V.2
Buntine, W.3
-
21
-
-
80053260943
-
Optimizing semantic coherence in topic models
-
D. Mimno, H. Wallach, E. Talley, M. Leenders, and A. McCallum, "Optimizing semantic coherence in topic models," in Proc. Conf. Empirical Methods Natural Language Process., 2011, pp. 262-272.
-
(2011)
Proc. Conf. Empirical Methods Natural Language Process.
, pp. 262-272
-
-
Mimno, D.1
Wallach, H.2
Talley, E.3
Leenders, M.4
McCallum, A.5
-
22
-
-
57349117605
-
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
-
X. Phan, L. Nguyen, and S. Horiguchi, "Learning to classify short and sparse text & web with hidden topics from large-scale data collections," in Proc. 17th Int. Conf. World Wide Web, 2008, pp. 91- 100.
-
(2008)
Proc. 17th Int. Conf. World Wide Web
, pp. 91-100
-
-
Phan, X.1
Nguyen, L.2
Horiguchi, S.3
-
23
-
-
83055191296
-
Transferring topical knowledge from auxiliary long texts for short text clustering
-
O. Jin, N. Liu, K. Zhao, Y. Yu, and Q. Yang, "Transferring topical knowledge from auxiliary long texts for short text clustering," in Proc. 20th ACM Int. Conf. Inf. Knowl. Manage., 2011, pp. 775-784.
-
(2011)
Proc. 20th ACM Int. Conf. Inf. Knowl. Manage.
, pp. 775-784
-
-
Jin, O.1
Liu, N.2
Zhao, K.3
Yu, Y.4
Yang, Q.5
-
24
-
-
72249113387
-
Using Twitter to recommend real-time topical news
-
O. Phelan, K. McCarthy, and B. Smyth, "Using Twitter to recommend real-time topical news," in Proc. 3rd ACM Conf. Recommender Syst., 2009, pp. 385-388.
-
(2009)
Proc. 3rd ACM Conf. Recommender Syst.
, pp. 385-388
-
-
Phelan, O.1
McCarthy, K.2
Smyth, B.3
-
25
-
-
77953984854
-
Short and tweet: Experiments on recommending content from information streams
-
J. Chen, R. Nairn, L. Nelson, M. Bernstein, and E. Chi, "Short and tweet: Experiments on recommending content from information streams," in Proc. SIGCHI Conf. Human Factors Comput. Syst., 2010, pp. 1185-1194.
-
(2010)
Proc. SIGCHI Conf. Human Factors Comput. Syst.
, pp. 1185-1194
-
-
Chen, J.1
Nairn, R.2
Nelson, L.3
Bernstein, M.4
Chi, E.5
-
26
-
-
84866021115
-
TM-LDA: Efficient online modeling of latent topic transitions in social media
-
Y. Wang, E. Agichtein, and M. Benzi, "TM-LDA: Efficient online modeling of latent topic transitions in social media," in Proc. 18th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2012, pp. 123-131.
-
(2012)
Proc. 18th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining
, pp. 123-131
-
-
Wang, Y.1
Agichtein, E.2
Benzi, M.3
-
27
-
-
84871043601
-
Clustering short text using ncut-weighted non-negative matrix factorization
-
X. Yan, J. Guo, S. Liu, X.-q. Cheng, and Y. Wang, "Clustering short text using ncut-weighted non-negative matrix factorization," in Proc. 21st ACM Int. Conf. Inf. Knowl. Manage., 2012, pp. 2259-2262.
-
(2012)
Proc. 21st ACM Int. Conf. Inf. Knowl. Manage.
, pp. 2259-2262
-
-
Yan, X.1
Guo, J.2
Liu, S.3
Cheng, X.-Q.4
Wang, Y.5
-
28
-
-
84898779066
-
Learning topics in short texts by non-negative matrix factorization on term correlation matrix
-
X. Yan, J. Guo, S. Liu, X. Cheng, and Y. Wang, "Learning topics in short texts by non-negative matrix factorization on term correlation matrix," in Proc. 13th SIAM Int. Conf. Data Mining, 2013.
-
(2013)
Proc. 13th SIAM Int. Conf Data Mining
-
-
Yan, X.1
Guo, J.2
Liu, S.3
Cheng, X.4
Wang, Y.5
-
29
-
-
84893101186
-
A biterm topic model for short texts
-
X. Yan, J. Guo, Y. Lan, and X. Cheng, "A biterm topic model for short texts," in Proc. 22nd Int. Conf. World Wide Web, 2013, pp. 1445-1456.
-
(2013)
Proc. 22nd Int. Conf. World Wide Web
, pp. 1445-1456
-
-
Yan, X.1
Guo, J.2
Lan, Y.3
Cheng, X.4
-
30
-
-
1842788824
-
Finding scientific topics
-
T. Griffiths and M. Steyvers, "Finding scientific topics," Proc. Nat. Acad. Sci. USA, vol. 101, no. Suppl 1, pp. 5228-5235, 2004.
-
(2004)
Proc. Nat. Acad. Sci. USA
, vol.101
, pp. 5228-5235
-
-
Griffiths, T.1
Steyvers, M.2
-
31
-
-
84859019879
-
Topical keyphrase extraction from Twitter
-
W. Zhao, J. Jiang, J. He, Y. Song, P. Achananuparp, E. Lim, and X. Li, "Topical keyphrase extraction from Twitter," in Proc. 49th Annu. Meet. Assoc. Comput. Linguistics: Human Lang. Technol., 2011, pp. 379-388.
-
(2011)
Proc. 49th Annu. Meet. Assoc. Comput. Linguistics: Human Lang. Technol.
, pp. 379-388
-
-
Zhao, W.1
Jiang, J.2
He, J.3
Song, Y.4
Achananuparp, P.5
Lim, E.6
Li, X.7
-
32
-
-
79951870792
-
The collapsed Gibbs sampler in Bayesian computations with applications to a gene regulation problem
-
J. S. Liu, "The collapsed Gibbs sampler in Bayesian computations with applications to a gene regulation problem," J. Amer. Statist. Assoc., vol. 89, no. 427, pp. 958-966, 1994.
-
(1994)
J. Amer. Statist. Assoc.
, vol.89
, Issue.427
, pp. 958-966
-
-
Liu, J.S.1
-
33
-
-
50249144225
-
Parameter estimation for text analysis
-
vsonix Gmb H and University of Leipzig
-
G. Heinrich, "Parameter estimation for text analysis," Tech. Rep., vsonix GmbH and University of Leipzig, 2005.
-
(2005)
Tech. Rep.
-
-
Heinrich, G.1
-
34
-
-
67049100147
-
On-line LDA: Adaptive topic models for mining text streams with applications to topic detection and tracking
-
L. AlSumait, D. Barbar-a, and C. Domeniconi, "On-line LDA: Adaptive topic models for mining text streams with applications to topic detection and tracking," in Proc. IEEE 8th Int. Conf. Data Mining, 2008, pp. 3-12.
-
(2008)
Proc. IEEE 8th Int. Conf. Data Mining
, pp. 3-12
-
-
Alsumait, L.1
Barbar-A, D.2
Domeniconi, C.3
-
35
-
-
33846516584
-
-
New York, NY, USA: Springer
-
C. M. Bishop and N. M. Nasrabadi, Pattern Recognition and Machine Learning, vol. 1, New York, NY, USA: Springer, 2006.
-
(2006)
Pattern Recognition and Machine Learning Vol 1
-
-
Bishop, C.M.1
Nasrabadi, N.M.2
-
36
-
-
27344432496
-
Decayed MCMC filtering
-
B. Marthi, H. Pasula, S. Russell, and Y. Peres, "Decayed MCMC Filtering," in Proc. Conf. Uncertainty Artif. Intell., 2002, pp. 319-326.
-
(2002)
Proc. Conf. Uncertainty Artif. Intell.
, pp. 319-326
-
-
Marthi, B.1
Pasula, H.2
Russell, S.3
Peres, Y.4
-
37
-
-
85162005069
-
Online learning for latent Dirichlet allocation
-
M. Hoffman, F. R. Bach, and D. M. Blei, "Online learning for latent Dirichlet allocation," in Proc. Adv. Neural Inf. Process. Syst., 2010, pp. 856-864.
-
(2010)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 856-864
-
-
Hoffman, M.1
Bach, F.R.2
Blei, D.M.3
-
38
-
-
84898936438
-
Integrating topics and syntax
-
T. Griffiths, M. Steyvers, D. Blei, and J. Tenenbaum, "Integrating topics and syntax," in Proc. Adv. Neural Inf. Process. Syst., 2005, vol. 17, pp. 537-544.
-
(2005)
Proc. Adv. Neural Inf. Process. Syst.
, vol.17
, pp. 537-544
-
-
Griffiths, T.1
Steyvers, M.2
Blei, D.3
Tenenbaum, J.4
-
39
-
-
84863381525
-
Reading tea leaves: How humans interpret topic models
-
J. Boyd-Graber, J. Chang, S. Gerrish, C. Wang, and D. Blei, "Reading tea leaves: How humans interpret topic models," in Proc. Adv. Neural Inf. Process. Syst., 2009, pp. 288-296.
-
(2009)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 288-296
-
-
Boyd-Graber, J.1
Chang, J.2
Gerrish, S.3
Wang, C.4
Blei, D.5
-
40
-
-
79960498353
-
Automatic evaluation of topic coherence
-
D. Newman, J. H. Lau, K. Grieser, and T. Baldwin, "Automatic evaluation of topic coherence," in Proc. Annu. Conf. North Amer. Chapter Assoc. Comput. Linguistics, 2010, pp. 100-108.
-
(2010)
Proc. Annu. Conf. North Amer. Chapter Assoc. Comput. Linguistics
, pp. 100-108
-
-
Newman, D.1
Lau, J.H.2
Grieser, K.3
Baldwin, T.4
-
41
-
-
70349247055
-
Modeling hidden topics on document manifold
-
D. Cai, Q. Mei, J. Han, and C. Zhai, "Modeling hidden topics on document manifold," in Proc. 17th ACM Conf. Inf. Knowl. Manage., 2008, pp. 911-920.
-
(2008)
Proc. 17th ACM Conf. Inf. Knowl. Manage.
, pp. 911-920
-
-
Cai, D.1
Mei, Q.2
Han, J.3
Zhai, C.4
|