Enhancing Multi-Label Text Classification by Incorporating Label Dependency to Handle Imbalanced Data

Author:

Pan Lihu1,Li Xiaohua1,Wang Zhengkui2,Zhang Rui1,Yang Nan1,Shan Wen3

Affiliation:

1. Taiyuan University of Science and Technology,School of Computer Science and Technology,Shanxi,China

2. Singapore Institute of Technology,InfoComm Technology Cluster,Singapore

3. Singapore University of Social Science,Singapore

Publisher

IEEE

Reference37 articles.

1. Large Language Models for Information Retrieval: A Survey;Zhu,2023

2. Binary Transformation Method for Multi-Label Stream Classification

3. A Survey on Text Classification: From Traditional to Deep Learning;Li;ACM Trans,2021

4. Topic representation: A novel method of tag recommendation for text

5. SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis

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