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Considering that traditional feature selection methods (DF, MI and IG) usually lost useful information, we propose the Feature Selection for Chinese Online Reviews Sentiment Classification (FSCSC), FSCSC takes empirical analysis into account and focus on how to effectively select different types of features based on statistical approaches to improve sentiment classification performance. FSCSC was...
In text classification system, accuracy is a major indicator of performance, and feature selection method has a significant impact on it. In this paper, we propose a blended feature selection method, which combines four traditional feature selection methods (document frequency, information gain, mutual information and chi-square) into a better feature selection method. BFSM is tested on a Chinese...
In the structure–activity relationship (SAR) study, a learning algorithm is usually faced with the problem of selecting a compact subset of descriptors related to the property of interest, while ignoring the rest. This paper presents a new method of molecular descriptor selection utilizing three commonly used decision tree (DT)-based ensemble methods coupled with a backward elimination strategy (BES)...
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