Artificial neural networks were used in the solution of many problems in the field of machine
learning. However, in the period called" AI Winter", studies in this area have come to a halt …

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 …

With the rapid development of the internet technology, a large amount of internet text data
can be obtained. The text classification (TC) technology plays a very important role in …

Social media communication serves as an integral part of the crisis response following a
mass emergency (disaster) event. Regardless of the kind of disaster event, whether it is a …

This study examines the relationship between language use and psychological
characteristics of the communicator. The aim of the study was to find models predicting the …

Text classification is one of the popular high dimensional classification problems where
providing better feature vector representations explicitly improve classification …

Recently, transfer learning from pre-trained language models has proven to be effective in a
variety of natural language processing tasks, including sentiment analysis. This paper aims …

Increasingly content sharing websites such as social media have become very popular in
many countries across the world. Classifying the gender of a person based on these short …

Author gender detection (AGD) is a serious and crucial issue in Internet security
applications, in particular in email, messenger, and social network communications …

Clickbait indicates the type of content with an intending goal to attract the attention of
readers. It has grown to become a nuisance to social media users. The purpose of clickbait …