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

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Research on the Motif of Chinese Science Fiction Literature Based on Big Data Mining

Authors
Sixin Zhu1, *
1College of Literature and Journalism, Sichuan University, Chengdu, China
*Corresponding author. Email: sigrid_zsx@163.com
Corresponding Author
Sixin Zhu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_12How to use a DOI?
Keywords
Big data mining; LDA topic model; Motif; Semantic cohort; Chinese science fiction
Abstract

Data mining is an important technology in the field of big data. In addition to being applied to artificial intelligence, finance and other fields, data mining can also be applied to the research of humanities and social sciences, and has high application value. China has entered the era of big data. In the field of humanities and social sciences, the state has also actively introduced relevant policies to promote the development of digital humanities. In this paper, the text clustering technology in data mining technology is adopted to conduct cluster analysis on a wide range of Chinese sci-fi literature works that are difficult to be fully analyzed, and then the motif is summarized, which helps to promote quantitative research into the field of traditional literature qualitative research, provide objective data support for literature research, and promote the process of “literature digitization”.

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
978-94-6463-064-0
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_12How 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  - Sixin Zhu
PY  - 2022
DA  - 2022/12/27
TI  - Research on the Motif of Chinese Science Fiction Literature Based on Big Data Mining
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 99
EP  - 109
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_12
DO  - 10.2991/978-94-6463-064-0_12
ID  - Zhu2022
ER  -