Big Data Analysis and Decision Making of Chinese Paper-Cutting
Cheng Yang, Lingang Wu, Dan Li, Zhichao Zhang
Available Online 6 April 2020.
- https://doi.org/10.2991/aebmr.k.200402.027How to use a DOI?
- paper-cutting, big data analysis, intangible cultural heritage, online comment
- Chinese paper-cutting is a traditional folk craftsmanship that cuts and carves patterns on paper. In urban civilization, how to protect and inherit traditional paper-cutting techniques is an urgent issue to consider. The continuous integration of social science and computing science provides a technical means for big data to analyze social issues. Use the crawler program to gain big amount of online comments about paper-cutting. Apply the Latent Dirichlet Allocation (LDA) to extract subjects of online comments. By using the comment extraction function in the AipNlp module, we can discover dissatisfaction of users, find their needs, and collect as well as filter improved strategies.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Cheng Yang AU - Lingang Wu AU - Dan Li AU - Zhichao Zhang PY - 2020 DA - 2020/04/06 TI - Big Data Analysis and Decision Making of Chinese Paper-Cutting BT - Proceedings of the 3rd International Conference on Advances in Management Science and Engineering (IC-AMSE 2020) PB - Atlantis Press SP - 152 EP - 157 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200402.027 DO - https://doi.org/10.2991/aebmr.k.200402.027 ID - Yang2020 ER -