The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …

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, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …

Financial systemic risk is an important issue in economics and financial systems. Trying to
detect and respond to systemic risk with growing amounts of data produced in financial …

There is a new generation of emoticons, called emojis, that is increasingly being used in
mobile communications and social media. In the past two years, over ten billion emojis were …

We implement a novel approach to derive investor sentiment from messages posted on
social media before we explore the relation between online investor sentiment and intraday …

In this paper, we propose a robust methodology to assess the value of microblogging data to
forecast stock market variables: returns, volatility and trading volume of diverse indices and …

With the rapid development of the Internet industry, sentiment analysis has grown into one of
the popular areas of natural language processing (NLP). Through it, the implicit emotion in …

The social networks and the rapid development of new technologies have led to
considerable changes in the tourism industry. Artificial intelligence, in particular natural …

In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …