This study aims to quantify the effect of linguistic features on AA using a new source of. German news articles. 2 Related Work. Previous approaches to AA ...

An experiment for the identification of the author of a Turkish language text by using classical machine learning methods including Support Vector Machines ...

Investigating the influence of selected linguistic features on authorship attribution using German news articles. Manuel Sage, Pietro Cruciata, Raed Abdo ...

Jackie Chi Kit Cheung Yaoyao Fiona Zhao. Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles.

Cheung, and Y. F. Zhao, "Investigating the influence of selected linguistic features on authorship attribution using German news articles," in 5th Swiss ...

Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles ... using Acoustic and Textual-based Features.

In this research, a genetic algorithm-based author obfuscation model was created to modify Indonesian news articles to avoid identification from authorship ...

Jun 5, 2024 · Abstract. This study explores the feasibility of cross-linguistic authorship attribution and the author's gender identification using ...

A combination of a similarity-based method and relevant linguistic features is used to achieve high accuracy authorship verification. The method is an author- ...

This thesis investigates whether the application of an LSTM-based language model can help to improve authorship attribution performance. In authorship ...