Sentiment Analysis of Emergencies Based on Microblogging
Changjin Liu, Xin Ye, Hongxia Dai, Fan Chen, Luan Dong
Available Online February 2018.
- https://doi.org/10.2991/csece-18.2018.106How to use a DOI?
- emergencies; sentiment analysis; Word2vec; random forest; genetic algorithm
- 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.
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 BT - 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018) PB - Atlantis Press 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 -