Imbalanced data is a challenge for the performance of classification algorithms. A situation
where two classes consisting of the majority class dominate the minority class. As a result …

The novel Coronavirus disease of 2019 (COVID-19) has subsequently named Severe Acute
Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) have tormented the lives of millions of …

The eyewitness message on twitter as a social network sensor aims to determine the
classification process's performance. In the classification of flood disaster messages …

In the past two years, the world witnessed the spread of the coronavirus (COVID-19)
pandemic that disrupted the entire world, the only solution to this epidemic was health …

A large amount of feedback, comments, and postings made every second in social
networking is rapidly growing the social database. Now, enormous data must be analyzed to …

The COVID-19 pandemic has spread across the world and has become an international
public health emergency. The outbreak of COVID-19 has focused attention on the use of …

Classification of text is very important and interesting topic for research due to number of
unstructured data and especially in the form of news. The problem arises when classifying …

Abstract World Health Organization (WHO) stated Covid-19 as a global pandemic in March,
2020. This pandemic has influenced people's life in many sectors such as the economy …

It is a huge repository of information used to meet the many needs of Internet users. The
collection and processing of data in some internet sites in this information repository has …

This paper aims to classify the Quranic topics that differ in their number of verses by applying
the SMOTE technique. SMOTE is used to rebalance samples of minority classes in these …