论文信息 - Incorporating Temporal Information for Document Classification

Incorporating Temporal Information for Document Classification

In this paper, we propose a novel document classification system where the Recurrent Linear Genetic Programming is employed to classify documents that are represented in encoded word sequences by Self Organizing feature Maps. The results using different feature selection techniques on Reuters 21578 data set show that the proposed system can analyze the temporal sequence patterns of a document and achieve competitive performance on classification.

A. Nur Zincir-Heywood | Xiao Luo

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