Analysis of Text Information of Sharing Economy Based on the Information Mining of News Information Data
- DOI
- 10.2991/emle-18.2018.35How to use a DOI?
- Keywords
- sharing economy; natural language processing; topic model; public opinions
- Abstract
The rapid development of sharing economy has drawn the attention of all sectors of society. The academic circle has conducted in-depth study on sharing economy from theory to individual cases. However, there are rarely scholars developing discussions on the understanding of the household sector, the important participant of sharing economy. Accordingly, this paper uses the reports about sharing economy in the internet information to conduct public opinion analysis and following conclusions are obtained through the analysis of topic model of this paper (LDA) and social network: (1) the reports from internet information about sharing economy are basically consistent with the studies of academic circles; however, there are certain cognitive confusions in the public about whether it is sharing economy or sharing conducts; (2) the rapid development of sharing economy poses challenges to the system arrangement; thereinto, the issues of social credit and safety are the main topics that the public focus on; (3) the connotation and development mechanism of sharing economy can be explored through the public opinion analysis based on internet information in an effective mode and it is hopeful to introduce the studies on sharing economy and explore the laws of economics that have not been found out.
- Copyright
- © 2018, 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/).
Cite this article
TY - CONF AU - Li Kai AU - Xiang Shujian PY - 2018/12 DA - 2018/12 TI - Analysis of Text Information of Sharing Economy Based on the Information Mining of News Information Data BT - Proceedings of the 4th International Conference on Economics, Management, Law and Education (EMLE 2018) PB - Atlantis Press SP - 205 EP - 210 SN - 2352-5428 UR - https://doi.org/10.2991/emle-18.2018.35 DO - 10.2991/emle-18.2018.35 ID - Kai2018/12 ER -