TY - GEN
T1 - An evaluation of writeprint matching method to identify the authors of Thai online messages
AU - Marukatat, Rangsipan
AU - Khongrod, Siravich
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/3
Y1 - 2015/8/3
N2 - This research studies the author identification of Thai online messages, based on 54 writing attributes. The method in focus is writeprint matching, which employs frequent pattern mining to create the writeprint of each suspect and computes a similarity score between this writeprint and the pattern found in an anonymous message. It achieved an average accuracy of 82%, while other well-known methods, support vector machine (SVM) and C4.5 decision tree, achieved average accuracies of 89% and 81%, respectively. As for the identification of individual author, all three methods were as good as each other in most cases. The writeprint matching method had potential in reducing Type I error or the chance of dismissing real offenders. However, its performance was still limited when the suspects had too similar writing styles.
AB - This research studies the author identification of Thai online messages, based on 54 writing attributes. The method in focus is writeprint matching, which employs frequent pattern mining to create the writeprint of each suspect and computes a similarity score between this writeprint and the pattern found in an anonymous message. It achieved an average accuracy of 82%, while other well-known methods, support vector machine (SVM) and C4.5 decision tree, achieved average accuracies of 89% and 81%, respectively. As for the identification of individual author, all three methods were as good as each other in most cases. The writeprint matching method had potential in reducing Type I error or the chance of dismissing real offenders. However, its performance was still limited when the suspects had too similar writing styles.
KW - author identification
KW - online messages
KW - writeprint
UR - https://www.scopus.com/pages/publications/84947087717
U2 - 10.1109/SNPD.2015.7176200
DO - 10.1109/SNPD.2015.7176200
M3 - Conference contribution
AN - SCOPUS:84947087717
T3 - 2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings
BT - 2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings
A2 - Saisho, Keizo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015
Y2 - 1 June 2015 through 3 June 2015
ER -