Authorship Attribution (AA) is crucial for identifying the author of a given text from a pool of
suspects, especially with the widespread use of the internet and electronic devices …

Authorship classification is a method of automatically determining the appropriate author of
an unknown linguistic text. Although research on authorship classification has significantly …

Word Embeddings can be used by deep layers of neural networks to extract features from
them to learn stylo-metric patterns of authors based on context and co-occurrence of the …

Characters are the smallest unit of text that can extract stylometric signals to determine the
author of a text. In this paper, we investigate the effectiveness of character-level signals in …

This paper explores the authorship attribution problem in modern Bengali literature. By
scrutinizing the writings of six Bangladeshi columnists of current time using some …

Many approaches have been introduced to solve the authorship verification problem,
including the use of machine learning techniques. These techniques proved to be effective …

The paper discusses few methods of author attribution system in Bengali literature through
stylometric approach. Our goal is to examine whether it is possible to identify the actual …

Authorship Attribution concerns with the classification problem of identifying the original
author of a piece of text by analyzing other literary works of the same author. A substantial …

The term Stylogenetics refers to the eloquent analysis of authors literary corpora which are
based on clustering. While writing, a writer focuses on some frequent things subconsciously …

Authorship attribution is the process of identifying the probable author of an unknown
document. This paper proposes a neural network based framework, which identifies the …