图卷积神经网络在社交媒体情感分析的应用研究
Research on the Application of Graph Convolutional Network in Emotional Analysis of Social Media
邓云帆1
作者信息
- 1. 桂林电子科技大学,广西桂林 541214
- 折叠
摘要
文章深入研究图卷积神经网络在社交媒体情感分析中的应用.首先,对图卷积神经网络的基本原理进行简要探讨.其次,详细研究图卷积神经网络在社交媒体情感分析中的应用.最后,采用WASSA-2017数据集进行实证研究,结果表明图卷积神经网络在社交媒体情感分析任务中表现出较高的分类准确性和可信度.
Abstract
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.
关键词
图卷积神经网络/社交媒体/情感分析/WASSA-2017数据集Key words
graph convolutional network/social media/sentiment analysis/WASSA-2017 data set引用本文复制引用
出版年
2024
NETL
NSTL
万方数据