What represents “style” in authorship attribution?
K Sundararajan, D Woodard - Proceedings of the 27th …, 2018 - aclanthology.org
Authorship attribution typically uses all information representing both content and style
whereas attribution based only on stylistic aspects may be robust in cross-domain settings …
whereas attribution based only on stylistic aspects may be robust in cross-domain settings …
Detection of changes in literary writing style using N-grams as style markers and supervised machine learning
G Ríos-Toledo, JPF Posadas-Durán, G Sidorov… - Plos one, 2022 - journals.plos.org
The analysis of an author's writing style implies the characterization and identification of the
style in terms of a set of features commonly called linguistic features. The analysis can be …
style in terms of a set of features commonly called linguistic features. The analysis can be …
Who could be behind QAnon? Authorship attribution with supervised machine-learning
A series of social media posts on 4chan then 8chan, signed under the pseudonym 'Q',
started a movement known as QAnon, which led some of its most radical supporters to …
started a movement known as QAnon, which led some of its most radical supporters to …
Enhancing Representation Generalization in Authorship Identification
H Wang - arXiv preprint arXiv:2310.00436, 2023 - arxiv.org
Authorship identification ascertains the authorship of texts whose origins remain
undisclosed. That authorship identification techniques work as reliably as they do has been …
undisclosed. That authorship identification techniques work as reliably as they do has been …
A transformer fine-tuning strategy for text dialect identification
Online medical consultation can significantly improve the efficiency of primary health care.
Recently, many online medical question–answer services have been developed that …
Recently, many online medical question–answer services have been developed that …
[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 …
You say tomato, I say the same: A large-scale study of linguistic accommodation in online communities
A Berdičevskis, V Erbro - … of the 24th Nordic Conference on …, 2023 - aclanthology.org
An important assumption in sociolinguistics and cognitive psychology is that human beings
adjust their language use to their interlocutors. Put simply, the more often people talk (or …
adjust their language use to their interlocutors. Put simply, the more often people talk (or …
A novel approach to text classification
N Zechner - 2017 - diva-portal.org
This thesis explores the foundations of text classification, using both empirical and deductive
methods, with a focus on author identification and syntactic methods. We strive for a …
methods, with a focus on author identification and syntactic methods. We strive for a …
Comparison of deep neural network architectures for authorship attribution of Russian social media texts
Y Dmitrin, D Botov, J Klenin, I Nikolaev - Computational Linguistics and …, 2018 - elibrary.ru
One of the important issues in modern computer forensics is authorship attribution ie
identifying the author by inspecting various features of the document. It is a problem caused …
identifying the author by inspecting various features of the document. It is a problem caused …
Bucketed common vector scaling for authorship attribution in heterogeneous web collections: A scaling approach for authorship attribution
HV Agun, O Yilmazel - Journal of Information Science, 2020 - journals.sagepub.com
Domain, genre and topic influences on author style adversely affect the performance of
authorship attribution (AA) in multi-genre and multi-domain data sets. Although recent …
authorship attribution (AA) in multi-genre and multi-domain data sets. Although recent …