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https://www.researchgate.net/publication/43456924_Authorship_Attribution_with_Support_Vector_Machines
In this paper we explore the use of text-mining methods for the identification of the author of a text. We apply the support vector machine (SVM) to this problem, as it is able to cope with half a ...
https://www.researchgate.net/profile/Gerhard_Paass/publication/43456924_Authorship_Attribution_with_Support_Vector_Machines/links/5418961f0cf203f155adb21a.pdf
Authorship Attribution with Support Vector Machines JOACHIM DIEDERICH, JORG KINDERMANN, EDDA LEOPOLD AND GERHARD PAASS¨ GMD—Forschungszentrum Informationstechnik, D …
https://users.cs.duke.edu/~ilker/papers/conference/iscs07.pdf
Authorship attribution (AA) is the process of attempting to identify the likely authorship of a given document, given a collection of documents whose authorship is known [1]. Authorship attribution becomes an important problem as the range of anonymous information increases with fast growing Internet usage worldwide.
https://www.researchgate.net/publication/4321080_Authorship_attribution
PDF Authorship attribution is the process of determining the writer of a document. ... retrieval methods such as tf-Idf structure with support vector machines, parametric and nonparametric ...
https://link.springer.com/article/10.1023%2FA%3A1023824908771
Jul 01, 2003 · In this paper we explore the use of text-mining methods for the identification of the author of a text. We apply the support vector machine (SVM) to this problem, as it is able to cope with half a million of inputs it requires no feature selection and can process the …Cited by: 407
https://www.researchgate.net/publication/311758511_Authorship_attribution_in_Arabic_poetry_using_NB_SVM_SMO
This work also measures the impact performance of Naïve Bayes, Support Vector Machine and Linear discriminant analysis for Arabic poetry authorship attribution using text mining classification ...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.7558
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In this paper we explore the use of text-mining methods for the identification of the author of a text. For the first time we apply the support vector machine (SVM) to this problem. As it is able to cope with half a million of inputs it requires no feature selection and can process the frequency vector of all words of ...
http://selab.netlab.uky.edu/homepage/publications/ijca_authorship_attribution_hayes_apr.pdf
Authorship Attribution: A Principal Component and Linear Discriminant Analysis of the Consistent Programmer Hypothesis Jane Huffman Hayes* ... analysis, and support vector machines have all been applied to various features of interest with varying degrees of success
https://www.deepdyve.com/lp/springer-journals/authorship-attribution-with-support-vector-machines-pyfyBU7nHw
Oct 10, 2004 · Read "Authorship Attribution with Support Vector Machines, Applied Intelligence" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
https://d.lib.msu.edu/islandora/object/etd:3660/datastream/OBJ/download/Machine_Learning_Method_for_Authorship_Attribution.pdf
method for the mathematical analysis of authorship by testing for a so-called chrono-divide in writing styles. Our method incorporates some of the latest advances in the study of au-thorship attribution, particularly techniques from support vector machines. By introducing
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