-
3
-
-
78650162978
-
Sentiment knowledge discovery in twitter streaming data
-
Springer
-
BIFET, A. AND FRANK, E. 2010. Sentiment knowledge discovery in twitter streaming data. In Discovery Science, Springer, 1-15.
-
(2010)
Discovery Science
, pp. 1-15
-
-
Bifet, A.1
Frank, E.2
-
4
-
-
77953527363
-
Moa: Massive online analysis
-
BIFET, A.,HOLMES, G.,KIRKBY, R., AND PFAHRINGER, B. 2010. Moa: Massive online analysis. J. Mach. Learn. Res. 11, 1601-1604.
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 1601-1604
-
-
Bifet, A.1
Holmes, G.2
Kirkby, R.3
Pfahringer, B.4
-
5
-
-
0141607824
-
Latent dirichlet allocation
-
BLEI, D. M., NG, A. Y., AND JORDAN, M. I. 2003. Latent dirichlet allocation. J. Mach. Learn. Res. 3, 4-5, 993-1022.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, Issue.4-5
, pp. 993-1022
-
-
Blei, D.M.1
Ng, A.Y.2
Jordan, M.I.3
-
7
-
-
79953102821
-
Twitter mood predicts the stock market
-
BOLLEN, J.,MAO, H., AND ZENG, X. 2011. Twitter mood predicts the stock market. J. Comput. Sci. 2, 1, 1-8.
-
(2011)
J. Comput. Sci.
, vol.2
, Issue.1
, pp. 1-8
-
-
Bollen, J.1
Mao, H.2
Zeng, X.3
-
8
-
-
84926078662
-
-
Cambridge University Press, New York
-
CESA-BIANCHI, N. AND LUGOSI, G. 2006. Prediction, Learning, and Games. Cambridge University Press, New York.
-
(2006)
Prediction, Learning, and Games.
-
-
Cesa-Bianchi, N.1
Lugosi, G.2
-
9
-
-
84973587732
-
A coefficient of agreement for nominal scales
-
COHEN, J. 1960. A coefficient of agreement for nominal scales. Educ. Psychol. Measur. 20, 1, 37-46.
-
(1960)
Educ. Psychol. Measur.
, vol.20
, Issue.1
, pp. 37-46
-
-
Cohen, J.1
-
12
-
-
33745890916
-
A new statistic and practical guidelines for nonparametric Granger causality testing
-
DOI 10.1016/j.jedc.2005.08.008, PII S016518890600056X, Computing in Economics and Finance
-
DIKS, C. AND PANCHENKO, V. 2006. A new statistic and practical guidelines for nonparametric granger causality testing. J. Econ. Dynamics Control 30, 1647-1669. (Pubitemid 44041167)
-
(2006)
Journal of Economic Dynamics and Control
, vol.30
, Issue.9-10
, pp. 1647-1669
-
-
Diks, C.1
Panchenko, V.2
-
13
-
-
70350664414
-
Issues in evaluation of stream learning algorithms
-
ACM Press, New York
-
GAMA, J. A., SEBASTIAO, R., AND RODRIGUES, P. P. 2009. Issues in evaluation of stream learning algorithms. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09). ACM Press, New York, 329.
-
(2009)
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09).
, vol.329
-
-
Gama, J.A.1
Sebastiao, R.2
Rodrigues, P.P.3
-
15
-
-
0000351727
-
Investigating causal relations by econometric models and cross-spectral methods
-
GRANGER, C. W. J. 1969. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37, 3, 424-38.
-
(1969)
Econometrica
, vol.37
, Issue.3
, pp. 424-438
-
-
Granger, C.W.J.1
-
16
-
-
32344449298
-
The predictive power of online chatter
-
DOI 10.1145/1081870.1081883, KDD-2005 - Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
GRUHL, D., GUHA, R., KUMAR, R., NOVAK, J., AND TOMKINS, A. 2005. The predictive power of online chatter. In Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery in Data Mining (KDD'05). ACM Press, New York, 78-87. (Pubitemid 43218270)
-
(2005)
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 78-87
-
-
Gruhl, D.1
Guha, R.2
Kumar, R.3
Novak, J.4
Tomkins, A.5
-
18
-
-
85162005069
-
Online learning for latent dirichlet allocation
-
HOFFMAN, M. D., BLEI, D. M., AND BACH, F. 2010. Online learning for latent dirichlet allocation. Adv. Neural Inf. Process. Syst. 23, 856-864.
-
(2010)
Adv Neural Inf Process Syst
, vol.23
, pp. 856-864
-
-
Hoffman, M.D.1
Blei, D.M.2
Bach, F.3
-
20
-
-
43949168783
-
Testing for neglected nonlinearity in time series models: A comparison of neural network methods and alternative tests
-
LEE, T.-H.,WHITE, H., AND GRANGER, C. W. 1993. Testing for neglected nonlinearity in time series models: A comparison of neural network methods and alternative tests. J. Econometrics 56, 3, 269-290.
-
(1993)
J. Econometrics
, vol.56
, Issue.3
, pp. 269-290
-
-
Lee, T.-H.1
White, H.2
Granger, C.W.3
-
22
-
-
0004255908
-
-
McGraw Hill Series in Computer Science, McGraw-Hill
-
MITCHELL, T. M. 1997. Machine Learning. McGraw Hill Series in Computer Science, McGraw-Hill.
-
(1997)
Machine Learning.
-
-
Mitchell, T.M.1
-
23
-
-
84890614558
-
From tweets to polls: Linking text sentiment to public opinion time series
-
O'CONNOR, B., BALASUBRAMANYAN, R., ROUTLEDGE, B. R., AND SMITH, N. A. 2010. From tweets to polls: Linking text sentiment to public opinion time series. In Proceedings of the 4th International AAAI Conference on Weblogs and Social Media. 122-129.
-
(2010)
Proceedings of the 4th International AAAI Conference on Weblogs and Social Media.
, pp. 122-129
-
-
O'Connor, B.1
Balasubramanyan, R.2
Routledge, B.R.3
Smith, N.A.4
-
24
-
-
48449095896
-
Opinion mining and sentiment analysis
-
PANG, B. AND LEE, L. 2008. Opinion mining and sentiment analysis. Found. Trends Info. Retrieval 2, 1-2, 1-135.
-
(2008)
Found. Trends Info. Retrieval
, vol.2
, Issue.1-2
, pp. 1-135
-
-
Pang, B.1
Lee, L.2
-
25
-
-
78650108377
-
The edinburgh twitter corpus
-
Association for Computational Linguistics
-
PETROVIC, S.,OSBORNE, M., AND LAVRENKO, V. 2010. The edinburgh twitter corpus. In Proceedings of the NAACL HLT Workshop on Computational Linguistics in a World of Social Media. Association for Computational Linguistics, 25-26.
-
(2010)
Proceedings of the NAACL HLT Workshop on Computational Linguistics in a World of Social Media
, pp. 25-26
-
-
Petrovic, S.1
Osborne, M.2
Lavrenko, V.3
-
26
-
-
33646894388
-
Contextual valence shifters. Computing attitude and affect in text
-
POLANYI, L. AND ZAENEN, A. 2006. Contextual valence shifters. Computing attitude and affect in text. Theory Appl. 20, 1-10.
-
(2006)
Theory Appl.
, vol.20
, pp. 1-10
-
-
Polanyi, L.1
Zaenen, A.2
-
29
-
-
75149176174
-
Ensemble-based classifiers
-
ROKACH, L. 2010. Ensemble-based classifiers. Artif. Intell. Rev. 33, 1-2, 1-39.
-
(2010)
Artif Intell Rev
, vol.33
, Issue.1-2
, pp. 1-39
-
-
Rokach, L.1
-
30
-
-
84981375164
-
Power of the neural network linearity test
-
TERASVIRTA, T., LIN, C.-F., AND GRANGER, C. W. J. 1993. Power of the neural network linearity test. J. Time Series Anal. 14, 209-220.
-
(1993)
J. Time Series Anal.
, vol.14
, pp. 209-220
-
-
Terasvirta, T.1
Lin, C.-F.2
Granger, C.W.J.3
-
31
-
-
0000383532
-
Statistical inferences in vector autoregressions with possibly integrated processes
-
TODA, H. Y. AND YAMAMOTO, T. 1995. Statistical inferences in vector autoregressions with possibly integrated processes. J. Econometrics 66, 225-250.
-
(1995)
J. Econometrics
, vol.66
, pp. 225-250
-
-
Toda, H.Y.1
Yamamoto, T.2
-
33
-
-
84890668120
-
Predicting elections with Twitter: What 140 characters reveal about political sentiment
-
TUMASJAN, A., SPRENGER, T., SANDNER, P., AND WELPE, I. 2010. Predicting elections with Twitter: What 140 characters reveal about political sentiment. In Proceedings of the 4th International AAAI Conference on Weblogs and Social Media. 178-185.
-
(2010)
Proceedings of the 4th International AAAI Conference on Weblogs and Social Media.
, pp. 178-185
-
-
Tumasjan, A.1
Sprenger, T.2
Sandner, P.3
Welpe, I.4
-
34
-
-
84891762125
-
-
TWITTER.
-
TWITTER. 2010a. Developer rules of the road. http://webarchive. nationalarchives.gov.uk/20100520095247/dev.twitter.com/pages/api terms.
-
(2010)
Developer Rules of the Road.
-
-
-
35
-
-
84891791244
-
-
TWITTER.
-
TWITTER. 2010b.Draft: Twitter rules for api rules. http://webarchive. nationalarchives.gov.uk/20100409154700/http://twitter.com/apirules.
-
(2010)
Draft: Twitter Rules for Api Rules.
-
-
-
38
-
-
0024944645
-
Additional hidden unit test for neglected nonlinearity in multilayer feedforward networks
-
WHITE, H. 1989. An additional hidden unit test for neglected nonlinearity in multilayer feedforward networks. In Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN'89). 451-455. (Pubitemid 20642124)
-
(1989)
IJCNN Int Jt Conf Neural Network
, pp. 451-455
-
-
White Halbert1
|