Big Data Analysis and Decision Making of Chinese Paper-Cutting

DOI

10.2991/aebmr.k.200402.027How to use a DOI?

Keywords

paper-cutting, big data analysis, intangible cultural heritage, online comment

Abstract

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.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

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  - 10.2991/aebmr.k.200402.027
ID  - Yang2020
ER  -