Research on the Application of Graph Convolutional Network in Emotional Analysis of Social Media
This paper deeply studies the application of graph convolutional network in sentiment analysis of social media.Firstly,the basic principle of graph convolutional network is briefly discussed.Secondly,the application of graph convolutional network in emotion analysis of social media is studied in detail.Finally,the WASSA-2017 data set is used for empirical research,the results show that the graph convolution network exhibits high classification accuracy and reliability in the social media sentiment analysis tasks.
graph convolutional networksocial mediasentiment analysisWASSA-2017 data set
NETL
NSTL
万方数据
