Authorship attribution supported by statistical or computational methods has a long history
starting from the 19th century and is marked by the seminal study of Mosteller and Wallace …

Author identification attempts to reveal the authors behind texts. It is an emerging area of
research associated with applications in literary research, cyber-security, forensics, and …

Authorship attribution is associated with important applications in forensics and humanities
research. A crucial point in this field is to quantify the personal style of writing, ideally in a …

Applications of authorship attributionin the wild'[. Authorship attribution in the wild. Language
Resources and Evaluation. Advanced Access published January 12, 2010: 10.1007/s10579 …

Authorship analysis is the process of determining who produced a questioned text by
language analysis. Although there has been significant success in the performance of …

Authorship attribution attempts to reveal the authors of documents. In recent years, research
in this field has grown rapidly. However, the performance of state‐of‐the‐art methods is …

Bipolar disorder, an illness characterized by manic and depressive episodes, affects more
than 60 million people worldwide. We present a preliminary study on bipolar disorder …

We use a convolutional neural network to perform authorship identification on a very
homogeneous dataset of scientific publications. In order to investigate the effect of domain …

Most previous research on authorship attribution (AA) assumes that the training and test
data are drawn from same distribution. But in real scenarios, this assumption is too strong …

This article deals with the one of the oldest and most traditional fields in quantitative
linguistics, the concept of vocabulary richness. Although there are several methods for …