Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)

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Design and Implementation of Word Segmentation System for Ideological and Political Education Based on Unsupervised Learning

Authors
Peng Shao1, *, Junjie Guo1
1Jiangxi Vocational College of Tourism and Commerce, Nanchang, 330100, Jiangxi, China
*Corresponding author. Email: tyu78945@126.com
Corresponding Author
Peng Shao
Available Online 12 December 2022.
DOI
10.2991/978-94-6463-024-4_83How to use a DOI?
Keywords
Chinese word segmentation; ideological and political education; language model; unsupervised learning; natural language processing
Abstract

Chinese word segmentation is an important technology in Chinese natural language processing. The quality of Chinese word segmentation results will affect the effect of text processing. The relationship between the two is very close. In the field of ideological and political education, these words have the characteristics of fast birth, wide coverage and large vocabulary.

Copyright
© 2023 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.

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Volume Title
Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
12 December 2022
ISBN
978-94-6463-024-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-024-4_83How to use a DOI?
Copyright
© 2023 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  - Peng Shao
AU  - Junjie Guo
PY  - 2022
DA  - 2022/12/12
TI  - Design and Implementation of Word Segmentation System for Ideological and Political Education Based on Unsupervised Learning
BT  - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
PB  - Atlantis Press
SP  - 792
EP  - 799
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-024-4_83
DO  - 10.2991/978-94-6463-024-4_83
ID  - Shao2022
ER  -