Style over substance: A psychologically informed approach to feature selection and generalisability for author classification-Reference-Cited by-同舟云学术

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Style over substance: A psychologically informed approach to feature selection and generalisability for author classification

Published:2023-03 Issue: Volume:9 Page:100267
ISSN:2451-9588
Container-title:Computers in Human Behavior Reports
language:en
Short-container-title:Computers in Human Behavior Reports

Author:

Holmes Isabel^ORCID,Cribbin Timothy^ORCID,Ferenczi Nelli^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications,Human-Computer Interaction,Applied Psychology,Neuroscience (miscellaneous)

Reference71 articles.

1. Classifying political Arabic articles using support vector machine with different feature extraction;Abd,2020

2. Improved support vector machine generalization using normalized input space;Ali,2006

3. Perceptions of Trump and Biden;Atske,2020

4. Conservatives and liberals have similar physiological responses to threats;Bakker;Nature Human Behaviour,2020

5. Shared tasks on authorship analysis at PAN 2020;Bevendorff,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Theory-Guided Multiclass Text Classification in Online Academic Discussions;Journal of Computer Information Systems;2024-07-02

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