Overview of PAN'17: author identification, author profiling, and author obfuscation
The PAN 2017 shared tasks on digital text forensics were held in conjunction with the
annual CLEF conference. This paper gives a high-level overview of each of the three shared …
annual CLEF conference. This paper gives a high-level overview of each of the three shared …
[PDF][PDF] Overview of the author identification task at PAN-2017: style breach detection and author clustering
M Tschuggnall, E Stamatatos… - … Notes Papers of …, 2017 - repository.uantwerpen.be
Several authorship analysis tasks require the decomposition of a multiauthored text into its
authorial components. In this regard two basic prerequisites need to be addressed:(1) style …
authorial components. In this regard two basic prerequisites need to be addressed:(1) style …
Exploiting ontology information in fuzzy SVM social media profile classification
O Mabrouk, L Hlaoua, MN Omri - Applied Intelligence, 2021 - Springer
Nowadays, social media like Twitter, Facebook, blogs, and LinkedIn are considered the
most used sources of information, while at the same time being the most visited and most …
most used sources of information, while at the same time being the most visited and most …
[图书][B] Analyzing non-textual content elements to detect academic plagiarism
N Meuschke - 2023 - Springer
Identifying academic plagiarism is a pressing problem, among others, for research
institutions, publishers, and funding organizations. Detection approaches proposed so far …
institutions, publishers, and funding organizations. Detection approaches proposed so far …
[PDF][PDF] Cross-domain authorship attribution based on compression
Authorship attribution (AA) is a very well studied research subject and the most prominent
subtask of authorship analysis. The goal of AA is to identify the most likely author of an …
subtask of authorship analysis. The goal of AA is to identify the most likely author of an …
[HTML][HTML] Practice-oriented authorship verification
O Halvani - 2021 - tuprints.ulb.tu-darmstadt.de
The question of the authorship of texts has occupied numerous areas both within and
beyond research for a very long time. Knowing whether a particular person is a potential …
beyond research for a very long time. Knowing whether a particular person is a potential …
Unsupervised authorship attribution using feature selection and weighted cosine similarity
C Martín-del-Campo-Rodríguez… - Journal of Intelligent …, 2022 - content.iospress.com
This paper presents a computational model for the unsupervised authorship attribution task
based on a traditional machine learning scheme. An improvement over the state of the art is …
based on a traditional machine learning scheme. An improvement over the state of the art is …
Authorship Clustering using Homogeneous Feature Space and Two-stepped Automatic Fuzzy Cmeans Clustering
M Aminian, M Eskandari - Journal of Applied Intelligent …, 2020 - journal.research.fanap.com
Identifying the authorship either of an anonymous or a doubtful document constitutes a
cornerstone for automatic forensic applications. Moreover, it is a challenging task for both …
cornerstone for automatic forensic applications. Moreover, it is a challenging task for both …
Overview of PAN 2018
A Obfuscation - … , and Interaction: 9th International Conference of …, 2018 - books.google.com
PAN 2018 explores several authorship analysis tasks enabling a systematic comparison of
competitive approaches and advancing research in digital text forensics. More specifically …
competitive approaches and advancing research in digital text forensics. More specifically …