您当前的位置:
首页 >
文章列表页 >
A Hierarchical Multi-Label Bidding Section Classification Method Based on K-BERT-LDA
Artificial Intelligence | 更新时间:2024-12-30
    • A Hierarchical Multi-Label Bidding Section Classification Method Based on K-BERT-LDA

    • In the field of material bidding, experts have proposed a hierarchical multi label text classification method based on K-BERT-LDA, which improves classification accuracy through feature fusion and label tree structure relationships, providing a solution for intelligent bidding.
    • Software Guide   Vol. 23, Issue 12, Pages: 66-74(2024)
    • DOI:10.11907/rjdk.241778    

      CLC: TP391
    • Published:16 December 2024

      Received:09 September 2024

    移动端阅览

  • HOU Jihui,WU Xiaozhong,LIU Hui,et al.A Hierarchical Multi-Label Bidding Section Classification Method Based on K-BERT-LDA[J].Software Guide,2024,23(12):66-74. DOI: 10.11907/rjdk.241778.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Research on UAV Image Semantic Segmentation Algorithm for Vegetation Protection in Offshore Areas
Research on Improved YOLOV5 Algorithm for Dense Pedestrian Detection
A Review of Semantic Text Similarity Calculation Methods
Office Smoking Behavior Detection Based on Improved YOLOv5 Model
Identification of Group-housed Pigs Based on Attention Mechanism and Adaptive Feature Fusion

Related Author

WANG Shengke
WU Kai
LIU Yingying
ZHAO Tianxu
XU Zhiwei
LI Qinghua
ZHOU Longgang
WEI Benchang

Related Institution

Department of Information Science and Engineering,Ocean University of China
Shandong Willand Intelligent Technology Co., Ltd
School of Electrical and Information Engineering, Hubei University of Automotive Technology
EduCoder Teaching and Research Center
College of Computer Science, Chengdu University of Information Technology
0