Due to sharp increases in data dimensions, working on every data mining or machine
learning (ML) task requires more efficient techniques to get the desired results. Therefore, in …

This article addresses the problem of detecting misleading information related to COVID-19.
We propose a misleading-information detection model that relies on the World Health …

These days there are instabilities in many societies in the world, either because of political,
economic, and other societal issues. The advance in mobile technology has enabled social …

At present several vectorization approaches are used to transform text documents into a
numerical format. A huge number of features converted from text data from a single …

In the last few years, Sentiment Analysis regarding customers' reviews in order to
comprehend the opinion polarity on social media has received considerable attention …

Nowadays, online news platforms have become the main sources of news for many users.
Hence, an urgent need arises to find a way to classify this news automatically and measure …

Document clustering involves grouping together documents so that similar documents are
grouped together in the same cluster and different documents in the different clusters …

The Internet contains both structured and unstructured data. The enormous flow of Internet
data creates challenges in relation to effective information retrieval. Semantic Web Mining …

The Semantic Web emerged as an extension to the traditional Web, adding meaning
(semantics) to a distributed Web of structured and linked information. At its core, the concept …

Proton-exchange membrane fuel cells (PEMFCs) are critical components of zero-emission
electro-hydrogen generators. Accurate performance prediction is vital to the optimal …