Text classification using a few labeled examples

作者：

Highlights：

• A graph of terms can be effectively used for text classification.

• Such a graph is extracted from documents thanks to a LDA based methodology.

• Proposed method achieves good performances on standard datasets.

• The approach can discover solutions matching user information needs.

摘要

•A graph of terms can be effectively used for text classification.•Such a graph is extracted from documents thanks to a LDA based methodology.•Proposed method achieves good performances on standard datasets.•The approach can discover solutions matching user information needs.

论文关键词：Text mining,Text classification,Term extraction,Probabilistic topic,Model,Data mining

论文评审过程：Available online 23 August 2013.

论文官网地址：https://doi.org/10.1016/j.chb.2013.07.043