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https://www.researchgate.net/publication/43456924_Authorship_Attribution_with_Support_Vector_Machines
Authorship Attribution with Support V ector Machines 121 Table 6 . Best result for each author in terms of loss for SVM with word forms, and bigrams or trigrams
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/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.
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 ...
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
http://citeseerx.ist.psu.edu/search?q=%22Authorship+Attribution+with+Support+Vector+Machines.%22&sort=cite
CiteSeerX - Scientific articles matching the query: "Authorship Attribution with Support Vector Machines."
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0054998
In this paper, we develop two automated authorship attribution schemes, one based on Multiple Discriminant Analysis (MDA) and the other based on a Support Vector Machine (SVM). The classification features we exploit are based on word frequencies in the text. We adopt an approach of preprocessing each text by stripping it of all characters except a-z and space. This is in order to increase the ...
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