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» Imbalanced sentiment classification
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WWW
2007
ACM
14 years 8 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»
13 years 9 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
13 years 2 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
13 years 5 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
13 years 9 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