Twitter Text Topic Mining and Sentiment Analysis Under the Belt and Road Initiative
Zhao Changyu;Wu Yaping;Wang Jimin;Department of Information Management, Peking University;Peking University Library;
[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.