Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)

<Previous Article In Volume
Next Article In Volume>

The Design and Development of Comprehensive Analysis System of Investigation and Interrogation Text Based on Data Mining

Authors
Hong Zhou1, *, Yipeng Yang1
1Sichuan Judicial and Police Officers Professional College, Deyang, 618000, Sichuan, China
*Corresponding author. Email: 549735999@qq.com
Corresponding Author
Hong Zhou
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-044-2_57How to use a DOI?
Keywords
Data Mining (DM); Python; Investigative Interrogation Text; Digitized Information
Abstract

Faced with the massive electronic information of police investigation and interrogation texts, police officers lack scientific and rational means of deep-level information mining and analysis, resulting in low work efficiency and insufficient information utilization. In this paper, the investigation and interrogation text will be taken as the research object, the data mining technology as the core, and the comprehensive analysis system of investigation and interrogation text will be built in Python language development environment, combined with Django framework. The system will use class libraries such as Jieba and NLTK under Python system to realize operations such as word segmentation, feature word extraction, classification and cluster mining of investigation and interrogation texts. Finally, the visual chart results of NBM algorithm and K-means algorithm will enhance the judgment ability of investigation and interrogation texts, promote the efficient and three-dimensional development of investigation work, and make a beneficial attempt for the construction of intelligent policing in the new era.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 December 2022
ISBN
978-94-6463-044-2
ISSN
2667-128X
DOI
10.2991/978-94-6463-044-2_57How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hong Zhou
AU  - Yipeng Yang
PY  - 2022
DA  - 2022/12/27
TI  - The Design and Development of Comprehensive Analysis System of Investigation and Interrogation Text Based on Data Mining
BT  - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
PB  - Atlantis Press
SP  - 450
EP  - 454
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-044-2_57
DO  - 10.2991/978-94-6463-044-2_57
ID  - Zhou2022
ER  -