The analysis of authorial style, termed stylometry, assumes that style is quantifiably
measurable for evaluation of distinctive qualities. Stylometry research has yielded several …

Psychologists are interested in predicting the personality traits of individuals, which costs
them great effort. The researchers in the field of computer science have found in the social …

Big data applications have stringent service requirements for scalability and fault-tolerance
and involve high volumes of data, high processing speeds and large varieties of database …

Knowing people's personalities is useful in various real-world applications, such as
personnel selection. Traditionally, we have to rely on qualitative methodologies, eg surveys …

In this paper, we describe a methodology for implementing FPGA-based accelerator (FBA)
from a high-level specification language. We have constructed a software package specially …

Two Authors Walk into a Bar Page 1 Two Authors Walk into a Bar Studies in author profiling
Ben Verhoeven Page 2 Two authors walk into a bar: Studies in author profiling …

The thesis investigates multiple machine learning algorithms with big data approach and
applies cutting-edge deep analytics to tackle the challenges in financial wealth …

This paper presents an approach to solve the author profiling, a text classification task,
which consists in determining the demographic and psychological characteristics of an …

Bu makalede bilişimin beşerî bilimlerdeki önemli bir uygulaması olan sayısal üslup analizi
yönteminin tanıtılması hedeflenmiş ve çevirilerin aslına sadakatini ölçen özgün bir araştırma …

Author profiling and identification are two areas of data-driven computational linguistics that
have gained a lot of relevance due to their potential applications in, eg, forensic linguistic …