摘要
随着社交媒体平台的快速发展,舆情信息得以在极短的时间内大范围传播,如果不对舆情信息加以管理和控制,将对网络环境乃至社会环境造成巨大威胁。信息抽取技术因其语义化和精准性成为舆情分析和管理的第一步,也是最关键的一步。近年来,随着深度学习的发展,其自动学习潜在特征、组合特征的能力使信息抽取各个子任务的准确率都得到了很大的提高。文中结合社交网络舆情的特点和深度学习技术在信息抽取领域的应用,对基于深度学习的社交网络舆情信息抽取方法进行了系统的梳理和总结。首先整理了社交网络舆情信息的组织方式,详细阐述了舆情信息抽取的框架、评价指标,然后对现有的基于深度学习的舆情信息抽取模型进行了全面的回顾和分析,讨论了现有方法的适用性及局限性,最后对未来的研究趋势进行了展望。
With the rapid development of social media platforms,public opinion information can be widely disseminated in a very short period of time.If the information of public opinion is not managed and controlled,it will pose a great threat to the network environment and even the social environment.Information extraction technology has become the first and the most significant step in public opinion analysis and management due to its semantization and accuracy.Over the last few years,with the development of deep learning,its ability to automatically learn potential features and combine these features has dramatically improved the accuracy of each sub-task of information extraction.This paper systematically composes and summarizes the methods of extracting information by combining the characteristics of social media public opinion and deep learning technology.Firstly,we sort out the organization of public opinion information in social networks,elaborate the framework and evaluation indexes of public opinion information extraction.Then we conduct a comprehensive review and analysis of existing deep learning-based public opinion information extraction models,discuss the applicability and limitations of existing methods.Finally,the future research trends is prospected.
作者
王剑
彭雨琦
赵宇斐
杨健
WANG Jian;PENG Yu-qi;ZHAO Yu-fei;YANG Jian(School of Computer and Artificial Intelligence,Zhengzhou University,Zhengzhou 450000,China;School of Cyber Science and Engineering,Zhengzhou University,Zhengzhou 450000,China;Yunnan Key Laboratory of Smart City in Cyberspace Security,Yuxi Normal University,Yuxi,Yunnan 653100,China)
出处
《计算机科学》
CSCD
北大核心
2022年第8期279-293,共15页
Computer Science
基金
国家自然科学基金(61972133)
云南省智慧城市网络空间安全重点实验室开放课题项目(202105AG070010)。
关键词
社交网络
社交媒体
舆情信息
信息抽取
深度学习
Social network
Social media
Public opinion
Information extraction
Deep learning