Deep neuro-fuzzy systems (DNFSs) have been successfully applied to real-world problems
using the efficient learning process of deep neural networks (DNNs) and reasoning aptitude …

Machine learning draws its power from various disciplines, including computer science,
cognitive science, and statistics. Although machine learning has achieved great …

The Editor-in-Chief and the publisher have retracted this article. The article was submitted to
be part of a guest-edited issue. An investigation by the publisher found a number of articles …

There are numerous channels available such as social media, blogs, websites, etc., through
which people can easily access the news. It is due to the availability of these platforms that …

Abstract Multi-class Sentiment Analysis (SA) is an important field of computational linguistics
that extracts multiple opinions expressed in a text using NLP and text-mining techniques …

The growing business evolution and the latest Artificial Intelligence (AI) make the different
business practices to be enhanced by the ability to create new means of collaboration. Such …

Reinforcement learning (RL) techniques nurture building up solutions for sequential
decision-making problems under uncertainty and ambiguity. RL has agents with a reward …

Emotional recognition has arisen as an essential field of study that can expose a variety of
valuable inputs. Emotion can be articulated in several means that can be seen, like speech …

With the rapid development of the Internet and new media, the enormous data from social
media and other public platforms have attracted increasing attention to user behavior …

With time, textual data is proliferating, primarily through the publications of articles. With this
rapid increase in textual data, anonymous content is also increasing. Researchers are …