Authorship Attribution With Support Vector Machines Pdf

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(PDF) Authorship Attribution with Support Vector Machines

    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 ...

Authorship Attribution with Support Vector Machines

    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 …

Authorship Attribution - Duke University

    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.

(PDF) Authorship attribution - ResearchGate

    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 ...

Authorship Attribution with Support Vector Machines ...

    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

Authorship attribution in Arabic poetry using NB, SVM, SMO ...

    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 ...

Authorship Attribution with Support Vector Machines (2000)

    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 ...

Authorship Attribution: A Principal Component and Linear ...

    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

Authorship Attribution with Support Vector Machines ...

    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.

MACHINE LEARNING METHOD FOR AUTHORSHIP …

    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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