Sentiment Analysis of Emergencies Based on Microblogging

DOI

10.2991/csece-18.2018.106How to use a DOI?

Keywords

emergencies; sentiment analysis; Word2vec; random forest; genetic algorithm

Abstract

With wide use of microblogging, the sentiment analysis of emergencies based on microblogging is helpful to analyze the trend of public opinion, and is beneficial to monitor and guide the public opinion correctly for government. Firstly, word2vec is used to transform microblogging text into the feature vector with high-dimensional space. Then, a classification algorithm based on random forest optimized by genetic algorithm is proposed. Finally, an experiment is performed. The result shows that the accuracy of microblogging sentiment classification based on proposed classification algorithm is improved greatly compared with classical single classifiers.

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/).

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TY  - CONF
AU  - Changjin Liu
AU  - Xin Ye
AU  - Hongxia Dai
AU  - Fan Chen
AU  - Luan Dong
PY  - 2018/02
DA  - 2018/02
TI  - Sentiment Analysis of Emergencies Based on Microblogging
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 487
EP  - 490
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.106
DO  - 10.2991/csece-18.2018.106
ID  - Liu2018/02
ER  -