Research of University Public Opinion Information Extraction Based on Micro-blog

DOI

10.2991/msam-17.2017.48How to use a DOI?

Keywords

public opinion; information extraction; micro-blog; network

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/msam-17.2017.48
ID  - Hu2017/03
ER  -