Language independent semantic kernels for short-text classification

作者：

Highlights：

• Kernels for short-text classification without language dependencies were proposed.

• Three levels of annotations were used for precise calculation of semantic similarity.

• The performances were evaluated by using real-world English and Korean datasets.

摘要

•Kernels for short-text classification without language dependencies were proposed.•Three levels of annotations were used for precise calculation of semantic similarity.•The performances were evaluated by using real-world English and Korean datasets.

论文关键词：Short-text document classification,Kernel method,Similarity measure,Language independent semantic kernel

论文评审过程：Available online 6 August 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.07.097