Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …

Sentiment Analysis (SA), also called Opinion Mining, is currently one of the most studied
research fields. It aims to analyze people's sentiments, opinions, attitudes, emotions, etc …

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …

Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …

The application of natural language processing (NLP) to financial fields is advancing with an
increase in the number of available financial documents. Transformer-based models such …

With the rise of social media, investors have a new tool for measuring sentiment in real time.
However, the nature of these data sources raises serious questions about its quality …

Purpose Symmetric communication and relationship building are core principles of public
relations, which have been highlighted for CSR communication. The purpose of this paper is …

In this paper, we introduce a new prediction model depend on Bidirectional Gated Recurrent
Unit (BGRU). Our predictive model relies on both online financial news and historical stock …

We investigate the importance of text analysis for stock price prediction. In particular, we
introduce a system that forecasts companies' stock price changes (UP, DOWN, STAY) in …

Semantic frames are a rich linguistic resource. There has been much work on semantic
frame parsers, but less that applies them to general NLP problems. We address a task to …