Extraction and visualization analysis of key elements of tax preferential policies

Haishan GUAN; Yulong ZHENG; Bifan WEI; Zemin ZHANG; Hao YUE; Bin SHI; Bo DONG

doi:10.11959/j.issn.2096-0271.2022035

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Extraction and visualization analysis of key elements of tax preferential policies

STUDY | 更新时间：2024-06-03

- Extraction and visualization analysis of key elements of tax preferential policies
- Big data research Vol. 8, Issue 5, Pages: 106-123(2022)
- 作者机构：
  
  1. 西安交通大学软件学院，陕西西安 710049
  2. 陕西省天地网技术重点实验室，陕西西安 710049
  3. 西安交通大学继续教育学院，陕西西安 710049
  4. 西安交通大学计算机科学与技术学院，陕西西安 710049
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2022035
  CLC： TP391.1
- Online First：2022-09，
  
  Published：15 September 2022
- 稿件说明：
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Haishan GUAN, Yulong ZHENG, Bifan WEI, et al. Extraction and visualization analysis of key elements of tax preferential policies[J]. Big data research, 2022, 8(5): 106-123.
DOI：

Haishan GUAN, Yulong ZHENG, Bifan WEI, et al. Extraction and visualization analysis of key elements of tax preferential policies[J]. Big data research, 2022, 8(5): 106-123. DOI： 10.11959/j.issn.2096-0271.2022035.

摘要

随着税收优惠政策数量的迅速增加，纳税人面对海量的税收优惠政策难以快速定位与自身相关的优惠内容，导致许多纳税人没有享受到应该享受的优惠政策。基于预训练语言模型BERT与规则处理相结合的方法实现了对税收优惠政策法规的表示、关键要素抽取和税收优惠的可视化查询，使纳税人可以快速准确地定位与自身相关的税收优惠信息，并对结果进行可视化展示。实验结果表明，关键要素抽取性能优越，税收优惠政策查询快速直观，可有效缓解海量税收优惠信息过载。

Abstract

With the rapid increase in the number of preferential tax policies

taxpayers face a large number of preferential tax policies

and it is difficult for taxpayers to quickly locate the preferential content related to them.As a result

many taxpayers do not enjoy the preferential policies they should enjoy.Based on the combination of pre-training language model BERT and rule processing

the visualization was realized of the characterization of preferential tax policies and regulations

the extraction of key elements

and the visual query of tax incentives

so that taxpayers can intuitively and quickly locate tax incentives related to themselves

and visualize the results.The experimental results show that the extraction performance of key elements is superior

and the query of preferential tax policies is quick and intuitive

which can effectively alleviate the problem of massive tax preferential information overload.

关键词

Keywords

references

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