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A Scientometric Study of the Stylometric Research Field

Panagiotis D. Michailidis
2022 Informatics  
statistics and machine learning methods).  ...  Therefore, in this paper, a bibliometric analysis of publications from the Scopus database in the stylometric research field was proposed.  ...  Data Availability Statement: The data used in the analysis were collected from the Scopus database [34] .  ... 
doi:10.3390/informatics9030060 fatcat:67maqc5syvcixi6ey5vs34x6i4

A Profile-Based Authorship Attribution Approach to Forensic Identification in Chinese Online Messages [chapter]

Jianbin Ma, Bing Xue, Mengjie Zhang
2016 Lecture Notes in Computer Science  
In this paper, a profile-based authorship attribution approach for Chinese online messages is firstly provided.  ...  Compared with two instance-based benchmark methods, the proposed profile-based method can obtain better authorship attribution results.  ...  A similarity computing method is employed to attribute unknown illegal messages to most likely authorship.  ... 
doi:10.1007/978-3-319-31863-9_3 fatcat:hsfoauveujauzhu63nv7b7wjoi

Authorship Attribution using Rough Sets based Feature Selection Techniques

Ignatius Ikechukwu, Victor Akinbola
2016 International Journal of Computer Applications  
This presents an investigation into the usefulness of rough set theory in the context of authorship attribution using writing style.  ...  The rough set based feature subset computation techniques reduced the dimensionality of the feature space from 346 conditional attributes to an average of 8 features.  ...  This is a challenge for authorship attribution methods.  ... 
doi:10.5120/ijca2016911889 fatcat:jnyc2dvx4jcvrnrkuxwig44ymq

Comparative study of Authorship Identification Techniques for Cyber Forensics Analysis

Smita Nirkhi, Dr.R.V.Dharaskar
2013 International Journal of Advanced Computer Science and Applications  
In this paper, a study of recent techniques and automated approaches to attributing authorship of online messages is presented.  ...  Also it discusses evaluation criteria and parameters for authorship attribution studies and list open questions that will attract future work in this area.  ...  Authorship analysis problem is categorized as [ Although authorship attribution problem has been studied in the history but in the last few decades, authorship attribution of online messages has become  ... 
doi:10.14569/ijacsa.2013.040505 fatcat:xmsrzdticjbzrkxbmucx6tcr5e

Authorship Arabic Text Detection According to Style of Writing by Using (SABA) Method

Ehsan Ali Al-Zubaidi
2017 Asian Journal of Applied Sciences  
Authorship attribution of a style of writing is a method depend on analyzing texts in text mining, e.g., historical books and novels that famous authors wrote, attempted to measure the author's style,  ...  Assuming that these writers have a different way of writing that no other writer have; thus, authorship attribution is the essential of identifying the author of a given text [1].  ...  Stylometric authorship balanced attribution (SABA) method also uses a set of more effective attributes in comparison with frequent words method.  ... 
doi:10.24203/ajas.v5i2.4750 fatcat:aat5w4ao5vdhrg5r6bg2ryneny

Authorship attribution of Morsi Gameel Aziz's lyrics: A clustering-based stylometry approach

Abdulfattah Omar
2021 Journal of Language and Linguistic Studies  
The results of the study show that machine learning systems and stylometric authorship techniques can be used in resolving many authorship questions that remain controversial and unanswered in Arabic literature  ...  Authorship attribution of Morsi Gameel Aziz's lyrics: A clustering-based stylometry approach. Abstract Numerous studies have addressed the issue of the authorship of Morsi Gameel Aziz's lyrics.  ...  Acknowledgments I take this opportunity to thank Prince Sattam Bin Abdulaziz University in Saudi Arabia alongside its Scientific Deanship, for all technical support it has unstintingly provided towards  ... 
doi:10.52462/jlls.36 fatcat:mfq7efl6lffhzjptqpm5d3bsgq

Style based Authorship Attribution on English Editorial Documents

N. V., Ch. Sadhvi, P. Tejaswini, Y. Mounica
2017 International Journal of Computer Applications  
The aim of the authorship attribution is identification of the author/s of unknown document(s). Every author has a unique style of writing pattern.  ...  The lexical feature vectors of various authors are used in the supervised machine learning algorithms for predicting the unknown document.  ...  The authorship attribution methods identifies the authors based on their attribute or style of writers. Every human has his own writing style.  ... 
doi:10.5120/ijca2017912899 fatcat:hgkpwrkmnfgmvhi7sxnrydji3q

Authorship Attribution based on Data Compression for Telugu Text

S. Nagaprasad, P.Vijayapal Reddy, A.Vinaya Babu
2015 International Journal of Computer Applications  
In [1] word length is used as a feature for authorship attribution. In [17] sentence lengths are used to judge authorship. The function word for authorship attribution is considered in [25] .  ...  Authorship attribution method assigns each document from test set T to a candidate author from set C. In the first step, all the training texts of each author are concatenated and saved in one file.  ... 
doi:10.5120/19277-0686 fatcat:ahr7hqpu7bardei6gustxixs7u

Application of Tamil Syntax based on Authorship Attribution Using Neural Network and Classification Methods

2019 International Journal of Scientific and Innovative Mathematical Research  
This study demonstrates that statistical methods of attributing authorship can be clubbed successfully with neural networks to produce a powerful classification tool.  ...  In this paper an attempt is made to identify authorship attribute of disputed articles using LVQ and verify with the results obtained by traditional canonical discriminant analysis.  ...  Its computational methods are loosely based on the concept of biological neuron, idea being that simple, trained processing elements will result in much more difficult behavior when used in combination  ... 
doi:10.20431/2347-3142.0706004 fatcat:jvrco3rjffgepcssajbtn2fu3e

Authorship Attribution

Patrick Juola
2007 Foundations and Trends in Information Retrieval  
Section 6 goes on to present some results in empirical evaluation and comparative testing of authorship attribution methods, focusing mainly on the results from the 2004 Ad-hoc Authorship Attribution Competition  ...  Section 8 discusses the specific problems of using authorship attribution in court, in a forensic setting.  ... 
doi:10.1561/1500000005 fatcat:eetb3357jjepfg2qk62ltrhccq

Comparative study of Authorship Identification Techniques for Cyber Forensics Analysis [article]

Smita Nirkhi, R.V. Dharaskar
2013 arXiv   pre-print
In this paper, a study of recent techniques and automated approaches to attributing authorship of online messages is presented.  ...  Also it discusses evaluation criteria and parameters for authorship attribution studies and list open questions that will attract future work in this area.  ...  Authorship analysis problem is categorized as [ Although authorship attribution problem has been studied in the history but in the last few decades, authorship attribution of online messages has become  ... 
arXiv:1401.6118v1 fatcat:5untao7qsrgi3jezosmscoostu

Authorship Attribution for Electronic Documents [chapter]

Patrick Juola
2006 IFIP Advances in Information and Communication Technology  
Recent work in authorship attribution demonstrates th e practical ity of analyzing documents based on authorial style , but the state of t he art is confusing.  ...  and concurrent analysis of a uniform and portable software tool that applies multiple methods to analyze electronic documents for authorship based on authorial style.  ...  Related Work This section discusses research in authorship attribution, and the development of a test corpus for authorship attribution.  ... 
doi:10.1007/0-387-36891-4_10 fatcat:dzqm5sruc5aqzmm4duvov4sp2e

Dropping down the Maximum Item Set: Improving the Stylometric Authorship Attribution Algorithm in the Text Mining for Authorship Investigation

Mustafa
2010 Journal of Computer Science  
persons using authorship attributes.  ...  Problem statement: Stylometric authorship attribution is an approach concerned about analyzing texts in text mining, e.g., novels and plays that famous authors wrote, trying to measure the authors style  ...  The exact data set has been used in the "Computational Stylomertic Approach Based on Frequent Word and Frequent Pair in the Text Mining Authorship Attribution" (Mustafa et al., 2009) which will give  ... 
doi:10.3844/jcssp.2010.235.243 fatcat:64hodgshejfdpa3kqbwinyighm

The Effectiveness of Stemming in the Stylometric Authorship Attribution in Arabic

Abdulfattah Omar, Wafya Ibrahim
2020 International Journal of Advanced Computer Science and Applications  
The recent years have witnessed the development of numerous approaches to authorship attribution including statistical and linguistic methods.  ...  As such, this study is concerned with investigating the effectiveness of stemming in the stylometric applications to authorship attribution in Arabic.  ...  ACKNOWLEDGMENT I take this opportunity to thank Prince Sattam Bin Abdulaziz University in Saudi Arabia alongside its Scientific Deanship, for all technical support it has unstintingly provided towards  ... 
doi:10.14569/ijacsa.2020.0110114 fatcat:nj223lrfjvendiwk6caivszt4i

Authorship Attribution on Imbalanced English Editorial Corpora

O. Srinivasa, N. V., V. Vijaya
2017 International Journal of Computer Applications  
Authorship attribution is one of the important problem, with many applications of practical use in the real-world.  ...  The present paper compares various machine learning algorithms for the authorship attribution and achieved highest average accuracy 95.58 using Random Forest classifier and 92.59 using Multilayer Perceptron  ...  Authorship attribution methods are divided in to two categories i.e. instance-based and profile-based [6] .  ... 
doi:10.5120/ijca2017914587 fatcat:hchhscne7ja3xczpss5tliimau
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