Research of University Public Opinion Information Extraction Based on Micro-blog
- https://doi.org/10.2991/msam-17.2017.48How to use a DOI?
- public opinion; information extraction; micro-blog; network
According to the management network of public opinion on the aging degree and real-time requirement, the algorithm is implemented to extract the classification of network popular university public opinion information, and determine the complex college network public opinion tendency, then find the center nodes that have influence on the sensitive points found in the mass of information. Thus the system could control the outbreak of hot events, establish the database of public opinion information resources in Chinese universities network, and provide college network public opinion assisted decision-making provide data and technical support for the university management.
- © 2017, 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 - Liang Hu AU - Jin Wen AU - Hao Wu AU - Jiangqing Liu AU - Hongmei Yu PY - 2017/03 DA - 2017/03 TI - Research of University Public Opinion Information Extraction Based on Micro-blog BT - Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017) PB - Atlantis Press SP - 215 EP - 218 SN - 1951-6851 UR - https://doi.org/10.2991/msam-17.2017.48 DO - https://doi.org/10.2991/msam-17.2017.48 ID - Hu2017/03 ER -