The constantly growing body of global environmental legislation necessitates that corporate
environmental compliance managers frequently assess the relevance of new regulations …

Feature selection is an integral phase in text classification problems. It is primarily applied in
preprocessing text data prior to labeling. However, there exist some limitations with the FS …

Most existing feature selection approach is limited to determine features from a single
source of data. In this paper, a feature selection approach is proposed to consider multiple …

The real datasets in the world usually are imbalanced; the number of samples for their
classes is not equal. Classifying these datasets makes the classifiers pay attention to the …

Abstract Qur'an, As-Sunnah, and Islamic old book have become the sources for Islam
followers as sources of knowledge, wisdom, and law. But in daily life, there are still many …

Al-Quran [1] was passed down for 23 years in 610 ce, when Prophet Muhammad was at the
age of 40. First sentence was passed down in Mecca city. Prophet Muhammad begin to …

Pandangan dunia Islam melahirkan kerangka komprehensif yang sesuai untuk karya ilmiah.
Dalam penelitian ini dibahas tentang bagaimana Islam dapat memberikan orientasi yang …

Text classification problem is primarily applied in document labeling. However, the major
setbacks with the existing feature selection techniques are high computational runtime …

Imbalanced Learning (IL) is considered as a special case of text classification. It is applied in
order to classify Imbalanced classes that are not equal in the number of samples. There are …

This study aims to assess the effectiveness of topic modeling in the English translation of the
Holy Quran. Topic modeling is a popular text mining technique for uncovering latent …