With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …

The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

The current study intends to highlight the most relevant studies in simulated realities with
special attention to VR and marketing, showing how studies have evolved over time and …

A huge amount of data is generated daily leading to big data challenges. One of them is
related to text mining, especially text classification. To perform this task we usually need a …

Learning from past accidents is pivotal for improving safety in construction. However, hazard
records are typically documented and stored as unstructured or semi-structured free-text …

Although, the usefulness of the machine learning (ML) technique in predicting future
outcomes has been established in different domains of applications (eg, heath care), its …

Background The COVID-19 pandemic has created a global health crisis that is affecting
economies and societies worldwide. During times of uncertainty and unexpected change …

The present study reviews the publications that examine the application of machine learning
(ML) approaches in occupational accident analysis. The review process includes four …

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 …

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 …