Short text sentiment analysis based on convolutional neural network
Weisen Li, Zhiqing Li, Xupeng Fang · 2018
In recent years, with the development of social media, a large amount of text has appeared on the Internet. Weibo, as the most popular micro blog service in China provides abundant information about netizens' attitudes. The application of sentiment analysis on Weibo's massive data will help improve the Internet's public opinion monitoring system to detect abnormal or unexpected events in the physical world. In this paper, we will use Convolutional Neural Network to make an effective analysis of user comments based on various text collected from Weibo. The experimental results show that compared with the traditional method, our model has achieved significant and consistent improvement.