Feature Vector Difference based Neural Network and Logistic Regression Models for Authorship Verification
Feature Vector Difference based Neural Network and Logistic Regression Models for Authorship Verification
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发表时间：
2020
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通讯作者：
Janith Weerasinghe;R. Greenstadt
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作者：
Janith Weerasinghe;R. Greenstadt
本文介绍了我们为PAN 2020的作者验证任务创建机器学习模型两种模型：在小数据集上训练的逻辑回归模型
. This paper describes the approach we took to create a machine learning model for the PAN 2020 Authorship Verification Task. For each document pair, we extracted stylometric features from the documents and used the absolute difference between the feature vectors as input to our classifier. We created two models: a Logistic Regression Model trained on a small dataset