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ECIR
2009
Springer
13 years 2 months ago
Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis
Abstract. In the community of sentiment analysis, supervised learning techniques have been shown to perform very well. When transferred to another domain, however, a supervised sen...
Songbo Tan, Xueqi Cheng, Yuefen Wang, Hongbo Xu
ICPR
2010
IEEE
13 years 10 months ago
On-Line Random Naive Bayes for Tracking
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
Martin Godec, Christian Leistner, Amir Saffari, Ho...
EMNLP
2009
13 years 2 months ago
Adapting a Polarity Lexicon using Integer Linear Programming for Domain-Specific Sentiment Classification
Polarity lexicons have been a valuable resource for sentiment analysis and opinion mining. There are a number of such lexical resources available, but it is often suboptimal to us...
Yejin Choi, Claire Cardie
PCM
2007
Springer
132views Multimedia» more  PCM 2007»
13 years 11 months ago
FADA: An Efficient Dimension Reduction Scheme for Image Classification
This paper develops a novel and efficient dimension reduction scheme--Fast Adaptive Discriminant Analysis (FADA). FADA can find a good projection with adaptation to different sampl...
Yijuan Lu, Jingsheng Ma, Qi Tian
CORR
2000
Springer
132views Education» more  CORR 2000»
13 years 4 months ago
A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation
This paper describes a set of comparative experiments, including cross{corpus evaluation, between ve alternative algorithms for supervised Word Sense Disambiguation (WSD), namely ...
Gerard Escudero, Lluís Màrquez, Germ...