-
1
-
-
78651286606
-
Classifying sentiment in micro blogs: Is brevity an advantage?
-
A. Bermingham, et al. 2010. Classifying sentiment in micro blogs: Is brevity an advantage?, CIKM '10, October 26-29, 2010, Toronto, Ontario, Canada.
-
(2010)
CIKM '10, October 26-29, 2010, Toronto, Ontario, Canada
-
-
Bermingham, A.1
-
2
-
-
78650122641
-
Twitter sentiment classification using distant supervision
-
A.Go, et al. 2009. Twitter sentiment classification using distant supervision, CS224N Project Report,Stanford.
-
(2009)
CS224N Project Report,Stanford
-
-
Go, A.1
-
5
-
-
77955075329
-
Sentiment analysis: A multi-faceted problem
-
Invited contribution to
-
B. Liu. 2010. Sentiment analysis: A multi-faceted problem, Invited contribution to IEEE Intelligent System.
-
(2010)
IEEE Intelligent System
-
-
Liu, B.1
-
7
-
-
84944949595
-
The effect of adding relevance information in a relevance feedback environment
-
C. Buckley, et.al. 1994. The effect of adding relevance information in a relevance feedback environment, SIGIR94.
-
(1994)
SIGIR94
-
-
Buckley, C.1
-
10
-
-
84860524227
-
Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
-
J. Blitzer, et al. 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification, in Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, Prague, Czech Republic, pp. 432-439
-
(2007)
Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, Prague, Czech Republic
, pp. 432-439
-
-
Blitzer, J.1
-
12
-
-
84880798303
-
Learning to Classify Texts Using Positiveand Unlabeled Data
-
X. Li, B. Liu. 2003. Learning to Classify Texts Using Positiveand Unlabeled Data, IJCAI-33.
-
(2003)
IJCAI-33
-
-
Li, X.1
Liu, B.2
-
13
-
-
77954168866
-
Characterizing Debate Performance via Aggregated Twitter Sentiment
-
N. A. Diakopoulos, et.al. 2010. Characterizing Debate Performance via Aggregated Twitter Sentiment, CHI 2010.
-
(2010)
CHI 2010
-
-
Diakopoulos, N.A.1
-
17
-
-
77950911780
-
Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis, ECIR 2009
-
S. Tan, et al. 2009. Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis, ECIR 2009, LNCS 5478, pp. 337-349.
-
(2009)
LNCS
, vol.5478
, pp. 337-349
-
-
Tan, S.1
-
20
-
-
85112593657
-
Sentiment analysis using support vector machines with diverse information sources
-
Barcelona, Spain
-
T. Mullen, N. Collier. 2004. Sentiment analysis using support vector machines with diverse information sources, In Proceedings of EMNLP-2004, pages 412-418, Barcelona, Spain.
-
(2004)
Proceedings of EMNLP-2004
, pp. 412-418
-
-
Mullen, T.1
Collier, N.2
-
21
-
-
31844440904
-
Beyond the point cloud: From transductive to semi supervised learning
-
V. Sindhwani, et al. 2005. Beyond the point cloud: From transductive to semi supervised learning, International Conference on Machine Learning.
-
(2005)
International Conference on Machine Learning
-
-
Sindhwani, V.1
-
23
-
-
79952082709
-
Thailand-Tourism and Conflict: Modeling Sentiment from Twitter Tweets using Naive Bayes and Unsupervised Neural Nets
-
W. B. Claster, et al. 2010. Thailand-Tourism and Conflict: Modeling Sentiment from Twitter Tweets using Naive Bayes and Unsupervised Neural Nets, CIMSim2010: Computational Intelligence, Modeling and Simulation.
-
(2010)
CIMSim2010: Computational Intelligence, Modeling and Simulation
-
-
Claster, W.B.1
|