-
1
-
-
33646859933
-
Sentiment classification of movie reviews using contextual valence shifters
-
A. Kennedy, and D. Inkpen. 2006. Sentiment classification of movie reviews using contextual valence shifters. Computational Intelligence, 22(2), pages 110-125.
-
(2006)
Computational Intelligence
, vol.22
, Issue.2
, pp. 110-125
-
-
Kennedy, A.1
Inkpen, D.2
-
2
-
-
85141803251
-
Thumbs up? Sentiment classification using machine learning techniques
-
Philadelphia, US: Association for Computational Linguistics
-
B. Pang, L. Lee, and S. Vaithyanathan. 2002. Thumbs up? Sentiment classification using machine learning techniques, In: Proceedings of EMNLP-02, the Conference on Empirical Methods in Natural Language Processing, Philadelphia, US: Association for Computational Linguistics, pages 79-86.
-
(2002)
Proceedings of EMNLP-02, the Conference on Empirical Methods in Natural Language Processing
, pp. 79-86
-
-
Pang, B.1
Lee, L.2
Vaithyanathan, S.3
-
3
-
-
85141280473
-
A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
-
Barcelona, ES: Association for Computational Linguistics
-
B. Pang, and L. Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In: Proceedings of ACL-04, 42nd Meeting of the Association for Computational Linguistics, Barcelona, ES: Association for Computational Linguistics, pages 271-278.
-
(2004)
Proceedings of ACL-04, 42nd Meeting of the Association for Computational Linguistics
, pp. 271-278
-
-
Pang, B.1
Lee, L.2
-
4
-
-
10044267331
-
Combining heterogeneous classifiers for word-sense disambiguation
-
D. Klein, K. Toutanova, H.T. Ilhan, S.D. Kamvar, and C.D. Manning. 2002. Combining heterogeneous classifiers for word-sense disambiguation, In: Proceedings of the. SIGLEX/SENSEVAL Workshop on Word Sense Disambiguation, pages. 74-80.
-
(2002)
Proceedings of the. SIGLEX/SENSEVAL Workshop on Word Sense Disambiguation
, pp. 74-80
-
-
Klein, D.1
Toutanova, K.2
Ilhan, H.T.3
Kamvar, S.D.4
Manning, C.D.5
-
5
-
-
10444224737
-
Classifier selection for majority voting
-
D. Ruta, and B. Gabrys. 2005. Classifier selection for majority voting. Information Fusion, vol. 6: 63-81.
-
(2005)
Information Fusion
, vol.6
, pp. 63-81
-
-
Ruta, D.1
Gabrys, B.2
-
6
-
-
80053345589
-
Feature Subsumption for opinion analysis
-
Association for Computational Linguistics
-
E. Riloff, S. Patwardhan, and J. Wiebe. 2006. Feature Subsumption for opinion analysis. In: Proceedings of EMNLP-06, the Conference on Empirical Methods in Natural Language Processing, Sydney, AUS: Association for Computational Linguistics, pages 440-448.
-
(2006)
Proceedings of EMNLP-06, the Conference on Empirical Methods in Natural Language Processing, Sydney, AUS
, pp. 440-448
-
-
Riloff, E.1
Patwardhan, S.2
Wiebe, J.3
-
7
-
-
21244501361
-
A theoretical and experimental analysis of linear combiners for multiple classifier systems
-
G. Fumera, and F. Roli. 2005. A theoretical and experimental analysis of linear combiners for multiple classifier systems", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27: 942-956.
-
(2005)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.27
, pp. 942-956
-
-
Fumera, G.1
Roli, F.2
-
8
-
-
33750699962
-
Comparative experiments on sentiment classification for online product reviews
-
Boston, US: AAAI Press
-
H. Cui, V. Mittal, and M. Datar. 2006. Comparative experiments on sentiment classification for online product reviews. In: Proceedings of AAAI-06, the 21st National Conference on Artifcial Intelligence, Boston, US: AAAI Press.
-
(2006)
Proceedings of AAAI-06, the 21st National Conference on Artifcial Intelligence
-
-
Cui, H.1
Mittal, V.2
Datar, M.3
-
9
-
-
0032021555
-
On combining classifiers
-
J. Kittler, M. Hatef, R.P.W. Duin, and J. Matas. 1998. On combining classifiers. IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20: 226-239.
-
(1998)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.20
, pp. 226-239
-
-
Kittler, J.1
Hatef, M.2
Duin, R.P.W.3
Matas, J.4
-
11
-
-
33747154397
-
Opinion extraction, summarization and tracking in news and Blog corpora
-
L. W. Ku, Y.T. Liang, and H.H. Chen. 2006. Opinion extraction, summarization and tracking in news and Blog corpora," In: Proceedings ofAAAI-CAAW-06, the Spring Symposia on Computational Approaches to Analyzing Weblogs.
-
(2006)
Proceedings ofAAAI-CAAW-06, the Spring Symposia on Computational Approaches to Analyzing Weblogs
-
-
Ku, L.W.1
Liang, Y.T.2
Chen, H.H.3
-
12
-
-
35248893424
-
Comparison of classifier selection methods for improving committee performance
-
Proceeding of the 4th International Workshop, Multiple Classifier Systems MCS
-
M. Aksela. 2003. Comparison of classifier selection methods for improving committee performance. In: Proceeding of the 4th International Workshop, Multiple Classifier Systems (MCS), Lecture Notes in Computer Science, vol. 2709, pages 84-93.
-
(2003)
Lecture Notes in Computer Science
, vol.2709
, pp. 84-93
-
-
Aksela, M.1
-
14
-
-
15044355748
-
Large-scale evaluation of multimodal biometric authentication using state-of-the-art systems
-
R. Snelick, U. Uludag, A. Mink, M. Indovina, and A. Jain. 2005. Large-scale evaluation of multimodal biometric authentication using state-of-the-art systems. IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27(3): 450-455.
-
(2005)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.27
, Issue.3
, pp. 450-455
-
-
Snelick, R.1
Uludag, U.2
Mink, A.3
Indovina, M.4
Jain, A.5
-
19
-
-
0030392357
-
-
Z. Switzerland. 1996. Combining classifiers in text categorization. In: Proceedings of the 19th annual international ACM SIGIR conference on research and development in information retrieval, pages 289-297.
-
Z. Switzerland. 1996. Combining classifiers in text categorization. In: Proceedings of the 19th annual international ACM SIGIR conference on research and development in information retrieval, pages 289-297.
-
-
-
-
20
-
-
0036567392
-
Ensembling neural networks: Many could be better than all
-
Z. H. Zhou, J. Wu, and W. Tang. 2002. Ensembling neural networks: Many could be better than all. Artificial Intelligence, vol.137(1-2): 239-263.
-
(2002)
Artificial Intelligence
, vol.137
, Issue.1-2
, pp. 239-263
-
-
Zhou, Z.H.1
Wu, J.2
Tang, W.3
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