图书情报工作 ›› 2019, Vol. 63 ›› Issue (19): 119-127.DOI: 10.13266/j.issn.0252-3116.2019.19.012

• 情报研究 • 上一篇    下一篇

“一带一路”倡议下的Twitter文本主题挖掘和情感分析

赵常煜1, 吴亚平2, 王继民1   

  1. 1. 北京大学信息管理系 北京 100871;
    2. 北京大学图书馆 北京 100871
  • 收稿日期:2018-12-11 修回日期:2019-03-21 出版日期:2019-10-05 发布日期:2019-10-05
  • 通讯作者: 王继民(ORCID:0000-0002-3573-7788),教授,博士生导师,通讯作者,E-mail:wjm@pku.edu.cn
  • 作者简介:赵常煜(ORCID:0000-0001-6780-1070),硕士研究生;吴亚平(ORCID:0000-0002-4242-2434),馆员。
  • 基金资助:
    本文系国家社会科学基金项目"‘一带一路’沿线国家互联互通水平综合评价研究"(项目编号:16BTQ057)研究成果之一。

Twitter Text Topic Mining and Sentiment Analysis Under the Belt and Road Initiative

Zhao Changyu1, Wu Yaping2, Wang Jimin1   

  1. 1. Department of Information Management, Peking University, Beijing 100871;
    2. Peking University Library, Beijing 100871
  • Received:2018-12-11 Revised:2019-03-21 Online:2019-10-05 Published:2019-10-05
  • Supported by:
     

摘要: [目的/意义] "一带一路"倡议的提出引起了国内外广泛的关注,众多国家的用户在最具代表性的社交媒体Twitter中表达观点、发表评论、相互讨论。从推文中挖掘得出世界对"一带一路"的讨论主题和情感倾向,有助于为政府机构优化宣传策略,增加"一带一路"倡议的曝光度、关注度提供参考。[方法/过程] 采集2017年与"一带一路"相关的6万余条推文,分别按照中文和英文进行数据预处理、数据描述、主题挖掘、情感分析,并实现主题和情感的交叉分析,得出结论。[结果/结论] 2017年的推文主题主要围绕5月份的"一带一路"高峰论坛。其中,中文推文更关注高峰论坛的筹划和实施,以及安全问题、领导层的访问等方面的内容,情感值的波动较大,特别是安全问题上的消极情绪波动很大。英文推文则更关注举办高峰论坛的事实以及论坛所带来的经济效应,情感波动较小,经济方面的情感值是积极占比明显高于消极和中立的情感值。

 

关键词: “一带一路”Twitter, 主题挖掘, 情感分析

Abstract: [Purpose/significance] The Belt and Road Initiative has attracted widespread attention around the world, and users in many countries have expressed their opinions, comments and discussed with each other on twitter, the most representative social media. The discussion topic and emotional tendency of "the Belt And Road" in the world extracted from the tweets will be helpful for the government to optimize their propaganda strategies and increase the exposure and attention of the Belt and Road Initiative.[Method/process] This paper collected more than 60 000 tweets related to the Belt and Road Initiative in 2017, and respectively carried out data preprocessing, data description, topic mining, and sentiment analysis in Chinese and English, and realized cross-analysis of topics and emotions to draw conclusions.[Result/conclusion] The tweet theme in 2017 is mainly around the "Belt and Road Forum for International Cooperation". Chinese tweets pay more attention to the planning and implementation of the forum, as well as security issues, visits by the leadership, etc. The emotional value fluctuates greatly, especially the negative emotions on security issues. English tweets are more concerned with the facts of holding the summit forum and the economic effects brought by the forum. The emotional fluctuations are small, and the emotional value of the economic aspect is that the positive proportion is significantly higher than the negative and neutral emotional values.

Key words: the Belt and Road Initiative, twitter, topic mining, sentiment analysis

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