Multi-Label Classification of Chinese Rural Poverty Governance Texts Based on XLNet and Bi-LSTM Fused Hierarchical Attention Mechanism

Multi-Label Classification of Chinese Rural Poverty Governance Texts Based on XLNet and Bi-LSTM Fused Hierarchical Attention Mechanism

Hierarchical multi-label text classification (HMTC) is a highly relevant and widely discussed topic in the era of big data, particularly for efficiently classifying extensive amounts of text data. This study proposes the HTMC-PGT framework for poverty governance’s single-path hierarchical multi-labe...

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Bibliographic Details
Main Authors: Xin Wang, Leifeng Guo
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
HMTC
XLNet
hierarchical attention mechanism
Bi-LSTM
transfer learning
rural poverty governance
Online Access:https://www.mdpi.com/2076-3417/13/13/7377

Internet

https://www.mdpi.com/2076-3417/13/13/7377

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