摘要
作为人工智能领域的重要研究方向之一,自然语言处理技术(Natural Language Processing,NLP)极大地促进了社会传播学的发展。文中在梳理国内外NLP发展脉络的基础上,综述了其在社会传播学领域内假新闻检测、常识推理、自动化新闻理解和生成、新闻评论管理、情感计算方面的最新应用进展,并提供了常用的研究数据集,指出了现有研究的不足和改进思路。此外,通过调研传播学中最具实证性的社会心理学派,探讨了NLP技术与传播学理论深度结合的可能性,并提炼出4个有前景的应用研究方向,即群体决策支持系统的构建、以计算机为媒介的亲密关系的判断、基于社会判断理论的情感分析、公众议程生成的分析,为智能化传播分析打下了基础。
Natural language processing(NLP),as a branch of artificial intelligence,has accelerated the development of social communication studies in both theory and application.This paper introduces the historical development of NLP,and then reviews the application of NLP in social communication studies,including five aspects:fake news detection,commonsense reasoning,automated journalism,offensive language identification,and affective computing.Some commonly used datasets have been provided,and the advantages and deficiencies of existing researches are discussed.Furthermore,to promote the deep integration of NLP techniques and social communication,this paper proposes four promising application fields after investigating communication theories:building group decision support system,computer-mediated intimate relationship judgment,attribute analysis based on social judgment theory,the generating of public agenda.Overall,this paper paves the way for intelligent social communication analysis.
作者
吴小坤
赵甜芳
WU Xiao-kun;ZHAO Tian-fang(School of Computer Science and Engineering,South China University of Technology,Guangzhou 510000,China;Guangdong-Hong Kong Joint Innovation Platform of Big Data&Computational Intelligence,Guangzhou 510000,China;School of Journalism and Communication,South China University of Technology,Guangzhou 510000,China;Center of Data Analysis and Information Visualization,Guangzhou 510000,China)
出处
《计算机科学》
CSCD
北大核心
2020年第6期184-193,共10页
Computer Science
基金
国家重点研发计划项目(2017YFC0820106)
国家社会科学基金重点项目(18AXW007)
国家自然科学基金面上项目(61873097,61972442)。
关键词
自然语言处理
中文信息处理
社会传播
新闻传播
传播分析
Natural language processing
Chinese information processing
Social communication
News communication
Propagation analysis
