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» Sentiment Mining Using Ensemble Classification Models
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GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
13 years 9 months ago
Class-Specific Ensembles for Active Learning
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
Amit Mandvikar, Huan Liu
INFORMS
2007
123views more  INFORMS 2007»
13 years 7 months ago
Constructing Ensembles from Data Envelopment Analysis
It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...
Zhiqiang Zheng, Balaji Padmanabhan
ACL
2004
13 years 9 months ago
The Sentimental Factor: Improving Review Classification Via Human-Provided Information
Sentiment classification is the task of labeling a review document according to the polarity of its prevailing opinion (favorable or unfavorable). In approaching this problem, a m...
Philip Beineke, Trevor Hastie, Shivakumar Vaithyan...
CIKM
2007
Springer
14 years 1 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