Text Classification Techniques: A Literature Review Page 1 Volume 13, 2018 Accepted by
Editor Maureen Tanner│ Received: July 7 3, 2017│ Revised: October 31, 2017, January …

Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …

This paper presents an empirical exploration of the use of capsule networks for text
classification. While it has been shown that capsule networks are effective for image …

Digital societies could be characterized by their increasing desire to express themselves
and interact with others. This is being realized through digital platforms such as social media …

Smartness, which underpins smart cities and societies, is defined by our ability to engage
with our environments, analyze them, and make decisions, all in a timely manner …

In the new generation of aircraft, electro-mechanical actuators (EMA) have been replacing
the conventional hydraulic versions. Despite the fact that a failure of this system can …

Lithology identification is an important part of petroleum drilling engineering. Accurate
identification of lithology is the foundation to ensure the smooth operation of drilling …

Introduction Research has shown that frailty, a geriatric syndrome associated with an
increased risk of negative outcomes for older people, is highly prevalent among residents of …

The continually developing Internet generates a considerable amount of text data. When
attempting to extract general topics or themes from a massive corpus of documents, dealing …

Fuzzy support vector machine (FSVM) has been combined with class imbalance learning
(CIL) strategies to address the problem of classifying skewed data. However, the existing …