@inproceedings{alamr-atwell-2020-weka,
title = "{WEKA} in Forensic Authorship Analysis: A corpus-based approach of Saudi Authors",
author = "AlAmr, Mashael and
Atwell, Eric",
editor = "Bhattacharyya, Pushpak and
Sharma, Dipti Misra and
Sangal, Rajeev",
booktitle = "Proceedings of the 17th International Conference on Natural Language Processing (ICON)",
month = dec,
year = "2020",
address = "Indian Institute of Technology Patna, Patna, India",
publisher = "NLP Association of India (NLPAI)",
url = "https://aclanthology.org/2020.icon-main.34",
pages = "257--260",
abstract = "This is a pilot study that aims to explore the potential of using WEKA in forensic authorship analysis. It is a corpus-based research using data from Twitter collected from thirteen authors from Riyadh, Saudi Arabia. It examines the performance of unbalanced and balanced data sets using different classifiers and parameters of word grams. The attributes are dialect-specific linguistic features categorized as word grams. The findings further support previous studies in computational authorship identification.",
}
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%0 Conference Proceedings
%T WEKA in Forensic Authorship Analysis: A corpus-based approach of Saudi Authors
%A AlAmr, Mashael
%A Atwell, Eric
%Y Bhattacharyya, Pushpak
%Y Sharma, Dipti Misra
%Y Sangal, Rajeev
%S Proceedings of the 17th International Conference on Natural Language Processing (ICON)
%D 2020
%8 December
%I NLP Association of India (NLPAI)
%C Indian Institute of Technology Patna, Patna, India
%F alamr-atwell-2020-weka
%X This is a pilot study that aims to explore the potential of using WEKA in forensic authorship analysis. It is a corpus-based research using data from Twitter collected from thirteen authors from Riyadh, Saudi Arabia. It examines the performance of unbalanced and balanced data sets using different classifiers and parameters of word grams. The attributes are dialect-specific linguistic features categorized as word grams. The findings further support previous studies in computational authorship identification.
%U https://aclanthology.org/2020.icon-main.34
%P 257-260
Markdown (Informal)
[WEKA in Forensic Authorship Analysis: A corpus-based approach of Saudi Authors](https://aclanthology.org/2020.icon-main.34) (AlAmr & Atwell, ICON 2020)
ACL