Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …

Electrocardiography (ECG) is a well‐known noninvasive technique in medical science that
provides information about the heart's rhythm and current conditions. Automatic ECG …

With the increasing number of online social posts, review comments, and digital
documentations, the Arabic text classification (ATC) task has been hugely required for many …

This paper addresses the evolution and evaluation of sarcasm in textual form. The growing
popularity of social networking sites is well known, and every individual generates a whole …

Arabic text classification is one application of Natural Language Processing (NLP). It has
been used to analyze and categorize Arabic text. Analyzing text has become an essential …

Text classification has critical applications, including healthcare, where it can assist patients
in locating specialized clinics based on their symptom descriptions. This can enhance …

Social media platforms are now not only a medium for expressing users views, feelings,
emotions and sentiments but are also being abused by people to propagate unpleasant and …

Multilabel classification of Arabic text is an important task for understanding and analyzing
social media content. It can enable the categorization and monitoring of social media posts …

The automatic speech identification in Arabic tweets has generated substantial attention
among academics in the fields of text mining and natural language processing (NLP). The …

Sunspots are known to be the most prominent feature of the solar photosphere. Solar
activities play a vital role in Space weather which greatly affects the Earth's environment …