Social media platforms are popular for expressing personal views, emotions and beliefs.
Social media platforms are influential for propagating extremist ideologies for group …

Deep learning has become an area of interest to the researchers in the past few years.
Convolutional Neural Network (CNN) is a deep learning approach that is widely used for …

Oil palms are one of the essential crops in agricultural productivity for developing countries
such as Malaysia and other tropical areas. For predicting the yield and production of palm …

Text classification is one of the challenging computational tasks in machine learning
community due to the increased amounts of natural language text documents available in …

The process of tagging a given text or document with suitable labels is known as text
categorization or classification. The aim of this work is to automatically tag a news article …

Text classification is a very important area in information retrieval. Text classification
techniques used to classify documents into a set of predefined categories. There are several …

Biometrics is progressively becoming vital due to vulnerabilities of traditional security
systems leading to frequent security breaches. Biometrics is an automated device that …

The primary task of machine learning is to extract valuable information from the data that is
generated every day, process it to learn from it, and take useful actions. Original language …

Across the globe, bullying and cyberbullying are present and have significant implications
for people and communities. Over the last years, the number of research studies for …

There have been great improvements in web technology over the past years which heavily
loaded the Internet with various digital contents of different fields. This made finding certain …