This paper studies the methodology of inferring bullish or bearish sentiments in the financial
domain. The task aims to predict a real value to represent the sentiment intensity concerning …

Forecasting stock market via historical financial data is an important issue for market
participants because even if the prediction accuracy is only slightly improved, better trading …

The overall rating of an opinion can generally be considered as the aggregation of the
individual ratings of all features of that opinion. Nevertheless, there are cases in which the …

Intelligent finance is a new form of business with deep integration of artificial intelligence
technology and financial industry. An important application of intelligent finance is the …

The majority of traditional finance management in colleges and universities is manual. This
backward management mode brings a lot of inconvenience to financial processing. An …

Financial sentiment analysis is a fine-grained sentiment analysis task that needs to predict
the sentiment value toward a given target entity. Recently, dependency-based graph neural …

Stock movement prediction is to predict the future movements of stocks for investment, which
is challenging both for research and industry. Typically, stock movement is predicted based …

To enhance the early warning level of financial risks in enterprises, mitigate the financial
risks arising from diverse adversities, and drive green technological innovation and …

Research background: The global coronavirus crisis has become a household name across
all segments of digital marketing communication. Whereas some brands primarily focused …

Brand communication through social media has grown significantly in recent years
specifically during the covid-19 pandemic, becoming one of the most popular and effective …