TextCNN-based ensemble learning model for Japanese Text Multi-classification

Hua Chen, Zepeng Zhang, Shiting Huang, Jiayu Hu, Wenlong Ni, Jianming Liu

Abstract: Highlights•Three TextCNN-based sub-classifiers for Japanese text classification are designed.•A Bagging ensemble learning model is proposed to combine three different subclassifiers for multi-label Japanese text classification.•A Japanese dataset for classification is constructed by crawling from Japanese Wikipedia pages.•The TextCNN-based model with bagging ensemble learning performs well for text classification.

External IDs:dblp:journals/cee/ChenZHHNL23