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» Imbalanced sentiment classification
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WWW
2007
ACM
15 years 10 months ago
Efficient training on biased minimax probability machine for imbalanced text classification
The Biased Minimax Probability Machine (BMPM) constructs a classifier which deals with the imbalanced learning tasks. In this paper, we propose a Second Order Cone Programming (SO...
Xiang Peng, Irwin King
LREC
2010
157views Education» more  LREC 2010»
14 years 11 months ago
Is Sentiment a Property of Synsets? Evaluating Resources for Sentiment Classification using Machine Learning
Existing approaches to classifying documents by sentiment include machine learning with features created from n-grams and part of speech. This paper explores a different approach ...
Aleksander Wawer
IALP
2010
14 years 4 months ago
Multiple Factors-Based Opinion Retrieval and Coarse-to-Fine Sentiment Classification
With more and more reviews on the web, browsing through a mass of the related reviews becomes a heavy work. How to effectively analyzing and organizing these reviews attracts more...
Shu Zhang, Wen-Jie Jia, Yingju Xia, Yao Meng, Hao ...
ACL
2010
14 years 7 months ago
Automatically Generating Annotator Rationales to Improve Sentiment Classification
One of the central challenges in sentimentbased text categorization is that not every portion of a document is equally informative for inferring the overall sentiment of the docum...
Ainur Yessenalina, Yejin Choi, Claire Cardie
HIS
2008
14 years 11 months ago
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Salvador García, Francisco Herrera