Twitter sentiment analysis has become a hot research topic in recent years. Most of existing
solutions to Twitter sentiment analysis basically only consider textual information of Twitter …

Explainable recommendation has attracted increasing attention from researchers. The
existing methods, however, often suffer from two defects. One is the lack of quantitative fine …

Cloud machine learning (CML) techniques offer contemporary machine learning services,
with pre-trained models and a service to generate own personalized models. This paper …

The recognition of emotions and feelings through computer technology and devices has
been widely explored in recent years. Social networks have become a natural environment …

The increasing richness in the volume and types of data in the financial domain provides
unprecedented opportunities for understanding the stock market more comprehensively and …

Abstract Long Short Term Memory (LSTM) and Convolutional Neural Network (CNN) are
efficiently applied to natural language processing, especially sentiment analysis. CNN …

Sentiment analysis is one of the popular techniques gaining attention in recent times.
Nowadays, people gain information on reviews of users regarding public transportation …

Nowadays, many big cities are suffering from heavy air pollution and continuous haze
weather. Compared with the threat on physical health, the influence of haze on people's …

The usage of social media is rapidly increasing day by day. The impact of societal changes
is bending towards the peoples' opinions shared on social media. Twitter has received much …

When analyzing textual user feedback, the challenge today is that automation is only
possible in a non-satisfactory way due to the limitations of understanding natural language …