Sudden-onset disasters put forward new requirements for on the state authorities' ability to
analyze public opinion sentiment. However, traditional sentiment analysis methods ignore …

This research explores the impact of individual investor sentiment derived from social
networks on stock market returns. Using keyword-based techniques, we collect and analyze …

Given the fragmentation of public opinion dissemination and the lag of network users'
cognition, the paper analyzes public opinion dissemination with incomplete information …

In order to identify the communication law of network public opinion in major public health
emergency, a multifactor communication model based on multiagent modeling is proposed …

Polarization analysis is critical for effective policy and strategy implementation. Various
aspects of the COVID-19 pandemic are discussed on social media platforms extensively …

Sentiment analysis (SA) and emotion analysis (EA) are commonly used to understand
people's feelings and opinions on a given topic. COVID-19 is an emerging infectious …

Sentiment Analysis (SA) is the field that combines Natural Language Processing (NLP),
Computational Linguistics (CL) and text analysis to study people's opinions through, by …

With the advent of the Internet era, Chinese users tend to choose to express their opinions
on social media platforms represented by Sina Weibo. The changes in people's emotions …

In order to effectively prevent and combat online public opinion crises triggered by major
emergencies, this paper explores the dissemination mechanism of uncertain information on …

Internet public opinion has developed rapidly in recent years, which has more influence on
society. The relevant problems of Internet public opinion have become the hotspots of …