中美贸易战的新闻特征与主题分析  

Analysis of News Features and Themes of the Trade War between China and the United States

作　　者：李春林[1] 杨凯童 LI Chun-lin;YANG Kai-tong(School of Mathematics and Statistics,Hebei University of Economics and Business,050061,Shijiazhuang,Hebei,China)

机构地区：[1]河北经贸大学数学与统计学学院,河北石家庄050061

出　　处：《特区经济》2020年第6期131-133,共3页Special Zone Economy

基　　金：2019年度河北省研究生创新资助项目(项目编号:CXZZSS2019101)。

摘　　要：近年来中美之间贸易摩擦不断,中美贸易战是一个很热门的研究领域,但很少有从文本挖掘角度对中美贸易战新闻进行发掘。本文通过对2017年7月2日至2019年10月15日中美贸易战新闻进行情感分析将文本分成消极部分及积极部分,并且通过词频分析以及主题(LDA)模型探索中美贸易战的新闻特征、提取主题信息,阐释其爆发的背景和原因,总结贸易战的阶段性特点。In recent years, there have been many trade frictions between China and the United States. The trade war between China and the United States is a hot research field. This article classified trade war with China news from July 2, 2017 to October 15, 2019 by emotional analysis into negative and positive part, and explored news features of a trade war with China, and extracted thematic information, explained the background and reason of the outbreak, summarized the phased characteristics of trade war through the word frequency analysis and LDA model.

关 键 词：中美贸易战 新闻特征 文本挖掘 情感分析 主题模型 

分 类 号：F74[经济管理—国际贸易]