<p>The following steps are applied: (1) a written text is pre-processed; (2) a network is generated based on the extraction of keywords from the pre-processing; (3) a selected LLNA rule evolves over the textual network topology; (4) spatio-temporal features from the LLNA are extracted and then are used for the authorship attribution task.</p
We apply the integrated syntactic graph feature extraction methodology to the task of automatic auth...
This is the author accepted manuscript. The final version is available from Springer nature via the ...
Thesis deals with authorship attribution of english internet comments. It describes state of art in ...
In this paper, we explore a set of novel fea-tures for authorship attribution of documents. These fe...
In this paper, it aims to explore authorship attribution through a set of features that are extracte...
<div><p>The authorship attribution is a problem of considerable practical and technical interest. Se...
Paper and data on Authorship attribution with supervised machine-learning, applied on web and social...
Abstract—A method for authorship attribution based on func-tion word adjacency networks (WANs) is in...
<p>a) Canonical analysis performed for the authorship recognition task using the five books from the...
This paper covers a text classification problem: the identification of the author of a text. It is n...
Automatic identification of authorship in disputed documents has benefited from complex network theo...
Authorship attribution (AA) is defined as the identification of the original author of an unseen tex...
This project aims to explore the possibilities of one of the most state of the art problem in Data M...
In practice, training language models for individual authors is often expensive because of limited d...
A majority of the previous works on authorship attribution make several assumptions while designing ...
We apply the integrated syntactic graph feature extraction methodology to the task of automatic auth...
This is the author accepted manuscript. The final version is available from Springer nature via the ...
Thesis deals with authorship attribution of english internet comments. It describes state of art in ...
In this paper, we explore a set of novel fea-tures for authorship attribution of documents. These fe...
In this paper, it aims to explore authorship attribution through a set of features that are extracte...
<div><p>The authorship attribution is a problem of considerable practical and technical interest. Se...
Paper and data on Authorship attribution with supervised machine-learning, applied on web and social...
Abstract—A method for authorship attribution based on func-tion word adjacency networks (WANs) is in...
<p>a) Canonical analysis performed for the authorship recognition task using the five books from the...
This paper covers a text classification problem: the identification of the author of a text. It is n...
Automatic identification of authorship in disputed documents has benefited from complex network theo...
Authorship attribution (AA) is defined as the identification of the original author of an unseen tex...
This project aims to explore the possibilities of one of the most state of the art problem in Data M...
In practice, training language models for individual authors is often expensive because of limited d...
A majority of the previous works on authorship attribution make several assumptions while designing ...
We apply the integrated syntactic graph feature extraction methodology to the task of automatic auth...
This is the author accepted manuscript. The final version is available from Springer nature via the ...
Thesis deals with authorship attribution of english internet comments. It describes state of art in ...