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CORR
2002
Springer
96views Education» more  CORR 2002»
15 years 2 months ago
Thumbs up? Sentiment Classification using Machine Learning Techniques
We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative. Using movie reviews as data, w...
Bo Pang, Lillian Lee, Shivakumar Vaithyanathan
MICAI
2009
Springer
15 years 7 months ago
Using Nearest Neighbor Information to Improve Cross-Language Text Classification
Cross-language text classification (CLTC) aims to take advantage of existing training data from one language to construct a classifier for another language. In addition to the expe...
Adelina Escobar-Acevedo, Manuel Montes-y-Gó...
ICONIP
2004
15 years 3 months ago
Content-Based Video Classification Using Support Vector Machines
Abstract. In this paper, we investigate the problem of video classification into predefined genre. The approach adopted is based on spatial and temporal descriptors derived from sh...
Vakkalanka Suresh, C. Krishna Mohan, R. Kumara Swa...
105
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JMLR
2010
101views more  JMLR 2010»
14 years 9 months ago
Classification Using Geometric Level Sets
A variational level set method is developed for the supervised classification problem. Nonlinear classifier decision boundaries are obtained by minimizing an energy functional tha...
Kush R. Varshney, Alan S. Willsky
ACIIDS
2010
IEEE
170views Database» more  ACIIDS 2010»
15 years 14 days ago
On the Effectiveness of Gene Selection for Microarray Classification Methods
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou