It is becoming increasingly difficult to know who is working on what and how in
computational studies of Dialectal Arabic. This study comes to chart the field by conducting a …

Background Patient health data collected from a variety of nontraditional resources,
commonly referred to as real-world data, can be a key information source for health and …

Analyzing gender is critical to study mental health (MH) support in CVD (cardiovascular
disease). The existing studies on using social media for extracting MH symptoms consider …

Gender analysis of Twitter can reveal important socio-cultural differences between male and
female users. There has been a significant effort to analyze and automatically infer gender in …

This article presents a comprehensive survey on recent applications of deep learning (DL)
algorithms to written Arabic. Despite the increasing amount of user-generated content in …

Author Gender Identification (AGI) is an extensively studied subject owing to its significance
in several domains, such as security and marketing. Recognizing an author's gender may …

Yazar profili oluşturma (Author Profiling) bir metnin üslup ve içeriğine bakarak yazarın çeşitli
özelliklerinin ortaya çıkarılmasına yönelik bir metin kümesi analizidir. Bu özellikler yaş …

Abstract Arabic Dialect Identification (ADI) is a challenging task in natural language
processing applications due to its diversity and regional variations. Despite previous efforts …

Predicting the gender of a text document's author, also known as gender identification, is a
well-studied authorship categorization task in the literature. A common theme in gender …

This paper presents the development of the gender classification system on Twitter tweets.
Three feature extraction techniques are explored: Bag of words and 2 variations of meta …