Financial Sentiment Analysis (FSA) is an important domain application of sentiment analysis
that has gained increasing attention in the past decade. FSA research falls into two main …

Financial and economic news is continuously monitored by financial market participants.
According to the efficient market hypothesis, all past information is reflected in stock prices …

Investors are constantly aware of the behaviour of stock markets. This affects their emotions
and motivates them to buy or sell shares. Financial sentiment analysis allows us to …

Extracting sentiment from news text, social media and blogs has recently gained increasing
interest in economics and finance. Despite many successful applications of sentiment …

This paper presents a state-of-the-art approach for sentiment polarity classification. Our
approach relies on an ensemble of Bidirectional Long Short-Term Memory networks …

Combining symbolic and subsymbolic methods has become a promising strategy as
research tasks in AI grow increasingly complicated and require higher levels of …

With a rapid development in Natural Language Processing (NLP), financial industry meets
the demand of analyzing a huge amount of financial text data. Some recent researches have …

User-generated data in blogs and social networks have recently become a valuable
resource for sentiment analysis in the financial domain, since they have been shown to be …

In this paper we present an ongoing work showing to what extent semantic technologies,
deep learning and natural language processing can be applied within the field of Human …

A lot of people have neuromuscular problems that affect their lives leading them to lose an
important degree of autonomy in their daily activities. When their disabilities do not involve …