The quality of the interpretation of the sentiment in the online buzz in the social media and
the online news can determine the predictability of financial markets and cause huge gains …

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 …

This paper proposes a novel application of deep learning models, Paragraph Vector, and
Long Short-Term Memory (LSTM), to financial time series forecasting. Investors make …

AI Innovation in Industry is a new department for IEEE Intelligent Systems, and this paper
examines some of the basic concerns and uses of AI for big data (AI has been used in …

The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …

Despite recent successes of deep learning in many fields of natural language processing,
previous studies of emotion recognition on Twitter mainly focused on the use of lexicons and …

In this paper a novel approach is proposed to predict intraday directional-movements of a
currency-pair in the foreign exchange market based on the text of breaking financial news …

In this paper, we apply sentiment analysis and machine learning principles to find the
correlation between” public sentiment” and” market sentiment”. We use twitter data to predict …

Micro-blogging systems such as Twitter expose digital traces of social discourse with an
unprecedented degree of resolution of individual behaviors. They offer an opportunity to …

This study explores the initial impact of COVID-19 sentiment on US stock market using big
data. Using the Daily News Sentiment Index (DNSI) and Google Trends data on coronavirus …