Text Classification problem has been thoroughly studied in information retrieval problems
and data mining tasks. It is beneficial in multiple tasks including medical diagnose health …

The present paper introduces a new evolutionary algorithm to solve optimization issues
called the human felicity algorithm (HFA). The main idea of the HFA has been inspired the …

Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …

Bat Algorithm (BA) has been extensively applied as an optimal Feature Selection (FS)
technique for solving a wide variety of optimization problems due to its impressive …

Wrapper Feature Selection (FS) methods based on the Binary Bat Algorithm (BBA) have
recently been employed in a variety of detection applications to determine the most relevant …

Feature Selection (FS) phase is crucial in the Event Detection (ED) model. Several studies
have captured the most informative features using various filter and wrapper FS methods …

Huge amount of data is being produced every second for microblogs, different content
sharing sites, and social networking. Sentimental classification is a tool that is frequently …

Event Detection (ED) works on identifying events from various types of data. Building an ED
model for news text documents greatly helps decision-makers in various disciplines in …