-
1
-
-
12244306040
-
Low-level annotations and summary representations of opinions for multi-perspective question answering
-
AAAI Press/MIT Press
-
C. Cardie, J. Wiebe, T. Wilson, and D. Litman. 2004. Low-level annotations and summary representations of opinions for multi-perspective question answering. In New Directions in Question Answering. AAAI Press/MIT Press.
-
(2004)
New Directions in Question Answering
-
-
Cardie, C.1
Wiebe, J.2
Wilson, T.3
Litman, D.4
-
2
-
-
9444244198
-
Mining the peanut gallery: Opinion extraction and semantic classification of product reviews
-
K. Dave, S. Lawrence, and D. M. Pennock. 2003. Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. In Proc. of WWW, pages 519-528.
-
(2003)
Proc. of WWW
, pp. 519-528
-
-
Dave, K.1
Lawrence, S.2
Pennock, D. M.3
-
3
-
-
33646872279
-
Determining the semantic orientation of terms through gloss classification
-
A. Esuli and F. Sebastiani. 2005. Determining the semantic orientation of terms through gloss classification. In Proc. of CIKM, pages 617-624.
-
(2005)
Proc. of CIKM
, pp. 617-624
-
-
Esuli, A.1
Sebastiani, F.2
-
5
-
-
85121752948
-
Predicting the semantic orientation of adjectives
-
V. Hatzivassiloglou and K. McKeown. 1997. Predicting the semantic orientation of adjectives. In Proc. of the ACL/EACL, pages 174-181.
-
(1997)
Proc. of the ACL/EACL
, pp. 174-181
-
-
Hatzivassiloglou, V.1
McKeown, K.2
-
6
-
-
12244305149
-
Mining and summarizing customer reviews
-
M. Hu and B. Liu. 2004. Mining and summarizing customer reviews. In Proc. of KDD, pages 168-177.
-
(2004)
Proc. of KDD
, pp. 168-177
-
-
Hu, M.1
Liu, B.2
-
8
-
-
85107227165
-
Determining the sentiment of opinions
-
S.-M. Kim and E. Hovy. 2004. Determining the sentiment of opinions. In Proc. of COLING, pages 1367-1373.
-
(2004)
Proc. of COLING
, pp. 1367-1373
-
-
Kim, S.-M.1
Hovy, E.2
-
13
-
-
85112593657
-
Sentiment analysis using support vector machines with diverse information sources
-
T. Mullen and N. Collier. 2004. Sentiment analysis using support vector machines with diverse information sources. In Proc. of EMNLP, pages 412-418.
-
(2004)
Proc. of EMNLP
, pp. 412-418
-
-
Mullen, T.1
Collier, N.2
-
14
-
-
0033886806
-
Text classification from labeled and unlabeled documents using EM
-
(/3)
-
K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. 2000. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2/3):103-134.
-
(2000)
Machine Learning
, vol.39
, Issue.2
, pp. 103-134
-
-
Nigam, K.1
McCallum, A.2
Thrun, S.3
Mitchell, T.4
-
15
-
-
85141280473
-
A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
-
B. Pang and L. Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proc. of the ACL, pages 271-278.
-
(2004)
Proc. of the ACL
, pp. 271-278
-
-
Pang, B.1
Lee, L.2
-
16
-
-
85141803251
-
Thumbs up? Sentiment classification using machine learning techniques
-
B. Pang, L. Lee, and S. Vaithyanathan. 2002. Thumbs up? Sentiment classification using machine learning techniques. In Proc. of EMNLP, pages 79-86.
-
(2002)
Proc. of EMNLP
, pp. 79-86
-
-
Pang, B.1
Lee, L.2
Vaithyanathan, S.3
-
17
-
-
85037086582
-
Language and task independent text categorization with simple language models
-
F. Peng, D. Schuurmans, and S. Wang. 2003. Language and task independent text categorization with simple language models. In HLT/NAACL: Main Proc., pages 189-196.
-
(2003)
HLT/NAACL: Main Proc
, pp. 189-196
-
-
Peng, F.1
Schuurmans, D.2
Wang, S.3
-
18
-
-
80053270803
-
Extracting product features and opinions from reviews
-
A.-M. Popescu and O. Etzioni. 2005. Extracting product features and opinions from reviews. In Proc. of HLTEMNLP, pages 339-346.
-
(2005)
Proc. of HLTEMNLP
, pp. 339-346
-
-
Popescu, A.-M.1
Etzioni, O.2
-
19
-
-
29344468054
-
Exploiting subjectivity classification to improve information extraction
-
E. Riloff, J. Wiebe, and W. Phillips. 2005. Exploiting subjectivity classification to improve information extraction. In Proc. of AAAI, pages 1106-1111.
-
(2005)
Proc. of AAAI
, pp. 1106-1111
-
-
Riloff, E.1
Wiebe, J.2
Phillips, W.3
-
20
-
-
85136072040
-
Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews
-
P. Turney. 2002. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In Proc. of the ACL, pages 417-424.
-
(2002)
Proc. of the ACL
, pp. 417-424
-
-
Turney, P.1
-
21
-
-
33646880507
-
Using appraisal groups for sentiment analysis
-
C. Whitelaw, N. Garg, and S. Argamon. 2005. Using appraisal groups for sentiment analysis. In Proc. of CIKM, pages 625-631.
-
(2005)
Proc. of CIKM
, pp. 625-631
-
-
Whitelaw, C.1
Garg, N.2
Argamon, S.3
-
22
-
-
26844546128
-
Learning subjective language
-
J. M. Wiebe, T. Wilson, R. Bruce, M. Bell, and M. Martin. 2004. Learning subjective language. Computational Linguistics, 30(3):277-308.
-
(2004)
Computational Linguistics
, vol.30
, Issue.3
, pp. 277-308
-
-
Wiebe, J. M.1
Wilson, T.2
Bruce, R.3
Bell, M.4
Martin, M.5
-
23
-
-
80053247760
-
Recognizing contextual polarity in phrase-level sentiment analysis
-
T. Wilson, J. M. Wiebe, and P. Hoffmann. 2005. Recognizing contextual polarity in phrase-level sentiment analysis. In Proc. of EMNLP, pages 347-354.
-
(2005)
Proc. of EMNLP
, pp. 347-354
-
-
Wilson, T.1
Wiebe, J. M.2
Hoffmann, P.3
-
24
-
-
0003141935
-
A comparative study on feature selection in text categorization
-
Y. Yang and J. O. Pedersen. 1997. A comparative study on feature selection in text categorization. In Proc. of ICML, pages 412-420.
-
(1997)
Proc. of ICML
, pp. 412-420
-
-
Yang, Y.1
Pedersen, J. O.2
-
26
-
-
85125365322
-
Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences
-
H. Yu and V. Hatzivassiloglou. 2003. Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In Proc. of EMNLP, pages 129-136.
-
(2003)
Proc. of EMNLP
, pp. 129-136
-
-
Yu, H.1
Hatzivassiloglou, V.2
|