-
1
-
-
56749147098
-
-
Aue, A. and Gamon, M. Customizing Sentiment Classifiers to New Domains: a Case Study. RANLP. 2005.
-
Aue, A. and Gamon, M. Customizing Sentiment Classifiers to New Domains: a Case Study. RANLP. 2005.
-
-
-
-
2
-
-
0031620208
-
-
Blum, A. and Mitchell, T. (1998). Combining labeled and unlabeled data with Co-Training. COLT. 1998, 92-100.
-
Blum, A. and Mitchell, T. (1998). Combining labeled and unlabeled data with Co-Training. COLT. 1998, 92-100.
-
-
-
-
3
-
-
56749123842
-
-
Cui, H., Mittal, V., Datar, M. Comparative Experiments on Sentiment Classification for Online Product Reviews. AAAI. 2006.
-
Cui, H., Mittal, V., Datar, M. Comparative Experiments on Sentiment Classification for Online Product Reviews. AAAI. 2006.
-
-
-
-
6
-
-
56749128864
-
-
Han, E. and Karypis, G. Centroid-Based Document Classification Analysis & Experimental Result. PKDD. 2000.
-
Han, E. and Karypis, G. Centroid-Based Document Classification Analysis & Experimental Result. PKDD. 2000.
-
-
-
-
7
-
-
1942483137
-
Transductive inference for text classification using support vector machines
-
Joachims, T. Transductive inference for text classification using support vector machines. ICML. 1999, 200-209.
-
(1999)
ICML
, pp. 200-209
-
-
Joachims, T.1
-
8
-
-
56749110574
-
-
Kennedy, A. and Inkpen, D. Sentiment Classification of Movie and Product Reviews Using Contextual Valence Shifters. FINEXIN. 2005.
-
Kennedy, A. and Inkpen, D. Sentiment Classification of Movie and Product Reviews Using Contextual Valence Shifters. FINEXIN. 2005.
-
-
-
-
9
-
-
84974687107
-
-
Lanquillon, C. Learning from Labeled and Unlabeled Documents: A Comparative Study on Semi-Supervised Text Classification. PKDD. 2000, 490-497
-
Lanquillon, C. Learning from Labeled and Unlabeled Documents: A Comparative Study on Semi-Supervised Text Classification. PKDD. 2000, 490-497
-
-
-
-
10
-
-
56749139092
-
-
Mullen, T. and Collier, N. Sentiment analysis using support vector machines with diverse information sources. EMNLP. 2004, 412-418
-
Mullen, T. and Collier, N. Sentiment analysis using support vector machines with diverse information sources. EMNLP. 2004, 412-418
-
-
-
-
11
-
-
0031630992
-
-
AAAI
-
Nigam, K., McCallum, A., Thrun, S. and Mitchell, T. Learning to classify text from labeled and unlabeled documents. AAAI. 1998, 792-799.
-
(1998)
Learning to classify text from labeled and unlabeled documents
, pp. 792-799
-
-
Nigam, K.1
McCallum, A.2
Thrun, S.3
Mitchell, T.4
-
12
-
-
56749086692
-
-
Pang, P., Lee, L., and Vaithyanathan S. Thumbs up? Sentiment classification using machine learning techniques. EMNLP. 2002.
-
Pang, P., Lee, L., and Vaithyanathan S. Thumbs up? Sentiment classification using machine learning techniques. EMNLP. 2002.
-
-
-
-
14
-
-
56749139091
-
-
Turney, P. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. ACL. 2002, 417-427
-
Turney, P. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. ACL. 2002, 417-427
-
-
-
-
15
-
-
33646880507
-
Using appraisal groups for sentiment analysis
-
Whitelaw, C., Garg, N., Argamon, S. Using appraisal groups for sentiment analysis. CIKM. 2005, 625-631.
-
(2005)
CIKM
, pp. 625-631
-
-
Whitelaw, C.1
Garg, N.2
Argamon, S.3
-
16
-
-
0034785186
-
A study on thresholding strategies for text categorization
-
Yang, Y. A study on thresholding strategies for text categorization. SIGIR. 2001, 137-145
-
(2001)
SIGIR
, pp. 137-145
-
-
Yang, Y.1
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