2022
DOI: 10.36287/ijmsit.6.1.45
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Author Identification with Machine Learning Algorithms

Abstract: Author identification is one of the application areas of text mining. It deals with the automatic prediction of the potential author of an electronic text among predefined author candidates by using author specific writing styles. In this study, we conducted an experiment for the identification of the author of a Turkish language text by using classical machine learning methods including Support Vector Machines (SVM), Gaussian Naive Bayes (GaussianNB), Multi Layer Perceptron (MLP), Logistic Regression (LR), St… Show more

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Cited by 3 publications
(1 citation statement)
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“…Then, several classifiers such as: Ensemble learning, Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), Naive Bayes, Logistic Regression ( ), and Stochastic Gradient Descent (SGD) were examined for author identification. Their results, showed the superiority of SGD over other classifiers [ 24 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Then, several classifiers such as: Ensemble learning, Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), Naive Bayes, Logistic Regression ( ), and Stochastic Gradient Descent (SGD) were examined for author identification. Their results, showed the superiority of SGD over other classifiers [ 24 ].…”
Section: Literature Reviewmentioning
confidence: 99%