A Study of Data Cleaning in Northwest Folk Songs
- DOI
- 10.2991/978-2-38476-277-4_115How to use a DOI?
- Keywords
- digital humanities; northwest folk songs; digitization
- Abstract
The arrival of the digital modernization era has brought a new paradigm of digital humanities research to the humanities, and the integration of digital data, the construction of corpus and the combination of computer analysis and processing have become an important part of digital humanities research. In order to solve the problems of complicated data format and low information content of the Northwest folk song “Hua’er”, Python tools are used to clean the data, and through noise reduction, mean filtering, corrosion and other means, the text recognition degree of the picture material is improved, and cleaner data is obtained, which lays the foundation for the establishment of the database of “Hua’er” and lays the foundation for the establishment of the database of “Hua’er”. It lays the foundation for the establishment of the “flower” database, and provides a referable program for the preprocessing of folk song data.
- Copyright
- © 2024 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 - Chengqi Dai AU - Yan Xu AU - Xin Wen PY - 2024 DA - 2024/09/02 TI - A Study of Data Cleaning in Northwest Folk Songs BT - Proceedings of the 2024 10th International Conference on Humanities and Social Science Research (ICHSSR 2024) PB - Atlantis Press SP - 1028 EP - 1038 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-277-4_115 DO - 10.2991/978-2-38476-277-4_115 ID - Dai2024 ER -