A Forensic Authorship Classification in SMS Messages: A Likelihood Ratio Based Approach Using N-gram
Due to its convenience and low�cost, short message service (SMS) has been a very popu-lar medium for communication for quite some time. Unfortunately, however, SMS messages are sometimes used in illicit acts, such as com-munication between drug dealers and buyers, extortion, fraud, scam, hoax, false reports of terrorist threats, and many more. This study is a forensic study on the authorship classifica-tion of SMS messages in the Likelihood Ra-tion (LR) framework with the N�gram mod-elling...[Show more]
|Collections||ANU Research Publications|
|Source:||Australasian Language Technology Association Workshop 2011: Proceedings of the Workshop|
|Access Rights:||Open Access|
|01_Ishihara_A_Forensic_Authorship_2011.pdf||509.61 kB||Adobe PDF|
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