Research for Public Opinion of Charitable Organizations Based on Microblogging Sentiment Analysis
Zhiming Liu · Journal of Information and Computational Science · 2015
The microblogging has become the important platform for expressing emotion, therefore it is critical for charitable organizations to monitor the public opinion in microblogging. This paper studied the evolution of the public emotions during the charity events. Firstly, we constructed a hierarchical emotion model for events and an emotion monitoring surveillance model. Secondly, we used three machine learning algorithms and three kinds of feature selection methods to study the emotion classiflcation for Chinese microblogging about the events. The experimental results show the performance of SVM and IG feature selection is best, and the accuracy of the classiflcation is flt for need, then the paper discussed a charity event and analyses the evolution of emotions.