Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

A Study on the Spiritual Imagery of Chinese Overseas Chinese Yinxin in the Digital Humanities Perspective-Based on Neural Network and Text Mining Method Application

Authors
Yuting Li1, *, Kailin Huang1, Siying Zhang1
1College of Art and Design, Guangdong University of Finance and Economics, Guangzhou, China
*Corresponding author. Email: yuting_li@gdufe.edu.cn
Corresponding Author
Yuting Li
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_59How to use a DOI?
Keywords
Digital humanities; Overseas Chinese bank letters; Content analysis; Memory heritage
Abstract

With the rapid development of the economy and technology, the construction of memory heritage resources is facing severe challenges. The continuation, inheritance, reproduction, and design of overseas Chinese bank letters are particularly important. To address the shortcomings and limitations of traditional text mining methods, this paper designs and implements a viewpoint mining method based on content analysis encoding sentiment model. Secondly, the constructed sentiment dimensions are improved, and the high quality sentiment imagery is obtained through the inconsistency processing of semantic and sentiment tendencies and the filtering of non-sentiment words; finally, based on the obtained sentiment imagery dimensions, the sentiment dimension values in the neural network are combined with the sentiment type Finally, based on the obtained sentiment imagery dimensions, the 2 main sentiment types are generated by combining the sentiment dimension values with the sentiment types in the neural network. The experimental method shows that this method has obvious advantages in accessibility, interpretability and resonance.

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 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-064-0_59
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_59How 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

TY  - CONF
AU  - Yuting Li
AU  - Kailin Huang
AU  - Siying Zhang
PY  - 2022
DA  - 2022/12/27
TI  - A Study on the Spiritual Imagery of Chinese Overseas Chinese Yinxin in the Digital Humanities Perspective-Based on Neural Network and Text Mining Method Application
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 574
EP  - 578
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_59
DO  - 10.2991/978-94-6463-064-0_59
ID  - Li2022
ER  -