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 …

Emotions and sentiments are subjective in nature. They differ on a case-to-case basis.
However, predicting only the emotion and sentiment does not always convey complete …

Research on sentic computing has received intensive attention in recent years, as indicated
by the increased availability of academic literature. However, despite the growth in literature …

Students' feedback is an effective mechanism that provides valuable insights about teaching-
learning process. Handling opinions of students expressed in reviews is a quite labour …

Real-time market prediction tool tracking public opinion in specialized newsgroups and
informative market data persuades investors of financial markets. Previous works mainly …

In this manuscript, we propose a Machine Learning approach to tackle a binary classification
problem whose goal is to predict the magnitude (high or low) of future stock price variations …

Sentiment analysis aims to identify the way in which sentiments are expressed in texts. State-
of-the-art approaches base their analyses solely on the given text, which complicates the …

News dissemination in social media causes fluctuations in financial markets.(Scope) Recent
advanced methods in deep learning-based natural language processing have shown …

Kansei engineering is a product design methodology that takes into account the affective
needs of customers and translates them into product parameters. Traditionally, it uses …

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 …