Research on emotion monitoring of public based on social network big data

• Published in: 大数据 Vol. 8; pp. 105 - 126
• Main Authors: Aili LI, Zishuai ZHANG, Yin LIN, Qiuju WANG, Jianan YANG, Weicheng MENG, Yanfeng ZHANG
• Format: Journal Article
• Language: Chinese
• Published: China InfoCom Media Group 01.11.2022
• Subjects: sentiment analysis;public opinion monitoring;sentiment lexicon;Chinese-Japanese relation;Weibo;Twitter
• ISSN: 2096-0271

In recent years, social networking platforms such as Sina Weibo and Twitter have gradually become one of the main carriers for reflecting social public opinion, providing a convenient platform for netizens to express their opinions and emotions.Public opinion monitoring based on social network big data has become a new research hotspot.People’s emotions monitoring using social network big data in various countries is helpful to directly grasp people’s emotional tendencies in international relations, and has a great impact on the diplomacy, foreign trade, and other aspects.Based on this, a public sentiment monitoring system for Chinese and Japanese data was proposed, which could analyze the emotional tendencies contained in Chinese and Japanese data on social platforms such as Sina Weibo and Twitter simultaneously, and displayed them to users in a visual form.In the aspect of sentiment analysis algorithm, based on the BERT model and combined with the self-expanding Chinese and Japanese sentiment lexicon, a new