Increasing search for a journal article should be supported by appropriate journal articles
search results. Searching for appropriate journal articles can be done by grouping journal …

Feature selection can be defined as the selection of the best subset to represent the data set
in machine learning applications, in other words extraction of the unnecessary data that has …

The government's endeavors in organizing the COVID-19 Social Assistance program often
encounter problems and lead to the opinion of many parties. One of the opinions expressed …

Text classification is a tool to assign the predefined categories to the text documents using
supervised machine learning algorithms. It has various practical applications like spam …

As Artificial Intelligence (AI) and Machine Learning (ML) gaining momentum on industry and
academic field, a deeper understanding for AI and ML are highly required. One of the most …

A large amount of online news on various topics is being posted on the Internet. One of the
tasks of processing this data is to provide the user with appropriate methods and tools for …

The numbers of documents are increasing rapidly in a web format. Therefore, automatic
document classification is needed to help human to classify the documents. Text …

Tweet is being informative as well as news articles, so that the automatic tweet classifier
based on news category could be useful to make ease in searching tweet based on certain …

The COVID-19 pandemic has given a tremendous impact on the economy, changed the way
of living of the whole world. Many lives are lost, the labor markets are affected and the …

The overall purpose of this paper is to demonstrate how data preprocessing, training size
variation, and subsampling can dynamically change the performance metrics of imbalanced …