论文标题
评估在线公众对中国的情感：2019年中国国庆日对英语和中文Twitter话语的案例研究
Evaluating Online Public Sentiments towards China: A Case Study of English and Chinese Twitter Discourse during the 2019 Chinese National Day
论文作者
论文摘要
随着互联网逐渐渗透到人们的日常生活中，并赋予所有人在线展示和交流观点和情感的能力，个人公民越来越多地参与公共事务的议程以及官方政策的设计和实施。当前的研究描述了一种使用社交媒体数据分析在线公众情绪的方法，并在2019年中国国庆节期间提供了Twitter话语的示例。在9月30日至10月3日之间收集了超过300,000个推文，并应用了词典的混合方法来评估收集的推文的情感。该方法避免了复杂的结构，同时在研究中使用的大多数分类器中的平均准确性超过96％。结果表明，尽管两种语言的情感往往是在不同的方向上，但在国庆日庆祝活动和英语和中文推文中表现出的情感之间的一致性。推文的观点也从国家到国家，但通常与该国与中国的官方关系在不同程度上保持一致。这些推文的语言特征表明，对中国有不同情感的Twitter用户有不同的担忧。最后，指出了进一步研究的可能方向。
As the Internet gradually penetrates into people's daily lives and empowers everyone to demonstrate and exchange opinions and sentiments online, individual citizens are increasingly participating in the agenda-setting of public affairs and the design and implementation of official policies. The current study describes an approach to analyze online public sentiments using social media data and provides an example of Twitter discourse during the 2019 Chinese National Day. Over 300,000 tweets were collected between Sept 30 and Oct 3, and a hybrid method of SVM and dictionary was applied to evaluate the sentiments of the collected tweets. This method avoids complex structures while yielding an average accuracy of over 96% in most classifiers used in the study. The results indicate alignment between the time of National Day celebration activities and the expressed sentiments revealed in both English and Chinese tweets, although the sentiments of the two languages tend to be in different directions. The sentiment of tweets also diverges from nation to nation, but is generally consistent with the country's official relations with China to varying degrees. The linguistic features of the tweets suggest different concerns for Twitter users who have different sentiments towards China. At last, possible directions for further studies are indicated.
