In recent years, the exponential growth of digital documents has been met by rapid progress
in text classification techniques. Newly proposed machine learning algorithms leverage the …

The decline of the number of newly discovered mineral deposits and increase in demand for
different minerals in recent years has led exploration geologists to look for more efficient and …

In the current generation, a huge amount of textual documents are generated and there is an
urgent need to organize them in a proper structure so that classification can be performed …

With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …

In recent years, there has been an exponential growth in the number of complex documents
and texts that require a deeper understanding of machine learning methods to be able to …

Social networking platforms give users countless opportunities to share information,
collaborate, and communicate positively. The same platform can be extended to a fabricated …

Word representation has always been an important research area in the history of natural
language processing (NLP). Understanding such complex text data is imperative, given that …

The authors provide a critical examination of marketing analytics methods by tracing their
historical development, examining their applications to structured and unstructured data …

In this study, we explore capsule networks with dynamic routing for text classification. We
propose three strategies to stabilize the dynamic routing process to alleviate the disturbance …

Methods from machine learning are used in the design of secure Industrial Control Systems.
Such methods focus on two major areas: detection of intrusions at the network level using …