Research on Text Analysis and Quantitative Evaluation of Mass Innovation Space Support Policies in Jiangsu Province

DOI

10.2991/icmesd-19.2019.19How to use a DOI?

Keywords

Text mining, Mass innovation space policy, PMC index model.

Abstract

Using ROSTCM6 text mining and UCINET data mining software to analyze the keywords, semantic network center and small groups of Jiangsu mass innovation space support policies. At the same time, three policies were selected and the PMC index model was used to conduct the quantitative evaluation of the three policies. The results showed that the PMC index of the selected policies were average, and they did not reach the excellent level. There is still room for improvement.

Copyright

© 2019, 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/).

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TY  - CONF
AU  - Zhen-Gang Zhang
AU  - Yu-Yuan Wei
PY  - 2019/07
DA  - 2019/07
TI  - Research on Text Analysis and Quantitative Evaluation of Mass Innovation Space Support Policies in Jiangsu Province
BT  - Proceedings of the 5th Annual International Conference on Management, Economics and Social Development (ICMESD 2019)
PB  - Atlantis Press
SP  - 131
EP  - 142
SN  - 2352-5428
UR  - https://doi.org/10.2991/icmesd-19.2019.19
DO  - 10.2991/icmesd-19.2019.19
ID  - Zhang2019/07
ER  -