Objective Despite recent calls for home healthcare (HHC) to integrate informatics, the
application of machine learning in HHC is relatively unknown. Thus, this study aimed to …

In recent years, the task of generating realistic short and long texts have made tremendous
advancements. In particular, several recently proposed neural network-based language …

The issue of authorship attribution has long been considered and continues to be a popular
topic. Because of advances in digital computers, this field has experienced rapid …

Email authorship analysis is a challenging task involving the detection of an author's style to
help determine their identity. Emails represent a widespread application of big data, and …

The Authorship Attribution (AA) is considered as a subfield of authorship analysis and it is an
important problem as the range of anonymous information increased with fast-growing of …

Authorship identification is the process of extracting and analysing the writing styles of
authors to identify the authorship. From the writing style, the author and his/her different …

Authorship attribution involves determining the original author of an anonymous text from a
pool of potential authors. The author attribution task has applications in several domains …

Arabic poetry using machine learning. Public features in poetry such as Characters, Poetry
Sentence length; Word length, Rhyme, Meter and First word in the sentence are used as …

Authorship verification is a type of authorship analysis that addresses the following problem:
given a set of documents known to be written by an author, and a document of doubtful …

Abstract As Artificial Intelligent (AI) technologies become ubiquitous, humans will have to
contend with many benefits and disadvantages of these advancements. Particularly, in …