A probabilistic model derived term weighting scheme for text classification.

Guozhong Feng,Shaoting Li,Tieli Sun,Bangzuo Zhang

Pattern Recognition Letters（2018）

Cited 34|Views20

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Abstract

•A new relevance weighting scheme named lrp is proposed via a probabilistic model.•A latent term selection indicator is introduced in the model.•lrp can assign very small weights (close to 0) to non-discriminating features.•Feature weighting and feature selection can then organically bond in lrp.

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Key words

Latent feature selection indicator,Matching score function,Naive Bayes,Supervised term weighting,Text classification

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