In the present information age, a wide and significant variety of social media platforms have
been developed and become an important part of modern life. Massive amounts of user …

Obtaining comprehensible classification rules may be extremely important in many real
applications such as data-driven decision-making and classification tasks. Decision-tree …

Social media networks have become a significant aspect of people's lives, serving as a
platform for their ideas, opinions and emotions. Consequently, automated sentiment …

Sentiment analysis using artificial intelligence is a great tool for analyzing human linguistic
capabilities. The deep learning techniques combined with Natural Language Processing …

The decision tree (DT) is a well-established tool used to classify information. Its efficiency in
accessing data and the accuracy of its outcomes is largely dependent on the characteristics …

Background Health care providers and health-related researchers face significant
challenges when applying sentiment analysis tools to health-related free-text survey data …

Emotion processing has been a very intense domain of investigation in data analysis and
NLP during the previous few years. Currently, the algorithms of the deep neural networks …

Social media is a crucial communication tool (eg, with 430 million monthly active users in
online forums such as Reddit), being an objective of Natural Language Processing (NLP) …

Negative emotion detection is challenging during the peak time of the COVID-19 period.
Most earlier studies contain individuals' physical health recognition rather than mental …

Background Due to the high mortality of COVID-19 patients, the use of a high-precision
classification model of patient's mortality that is also interpretable, could help reduce …