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» Classification as Mining and Use of Labeled Itemsets
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108
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ACL
2009
14 years 11 months ago
A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge
Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The prolif...
Tao Li, Yi Zhang 0005, Vikas Sindhwani
156
Voted
SISAP
2010
IEEE
259views Data Mining» more  SISAP 2010»
14 years 11 months ago
kNN based image classification relying on local feature similarity
In this paper, we propose a novel image classification approach, derived from the kNN classification strategy, that is particularly suited to be used when classifying images descr...
Giuseppe Amato, Fabrizio Falchi
CIKM
2007
Springer
15 years 8 months ago
A novel scheme for domain-transfer problem in the context of sentiment analysis
In this work, we attempt to tackle domain-transfer problem by combining old-domain labeled examples with new-domain unlabeled ones. The basic idea is to use old-domain-trained cla...
Songbo Tan, Gaowei Wu, Huifeng Tang, Xueqi Cheng
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
15 years 5 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman
116
Voted
ACL
2010
14 years 12 months ago
Identifying Text Polarity Using Random Walks
Automatically identifying the polarity of words is a very important task in Natural Language Processing. It has applications in text classification, text filtering, analysis of pr...
Ahmed Hassan, Dragomir R. Radev