259 search results - page 4 / 52 » Application of Semi-supervised Learning to Evaluative Expres... |
96
Voted
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
101
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KDD
2006
ACM
15 years 10 months ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
75
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CICLING
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. We propose to use semi-supervised learning methods to classify evaluative expressions, that is, tuples of subjects, their attributes, and evaluative words, that indicate ...
AAAI
2006
14 years 11 months ago
2006
Evaluating text fragments for positive and negative subjective expressions and their strength can be important in applications such as single- or multi- document summarization, do...