Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

Sentiment Analysis of Emergencies Based on Microblogging

Authors
Changjin Liu, Xin Ye, Hongxia Dai, Fan Chen, Luan Dong
Corresponding Author
Changjin Liu
Available Online February 2018.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/csece-18.2018.106How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SP  - 487
EP  - 490
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.106
DO  - https://doi.org/10.2991/csece-18.2018.106
ID  - Liu2018/02
ER  -