A Study on Deception Detection Method for Chinese Text
Hongye Tan · Journal of Shanxi University · 2009
Inundated with massive amounts of textual information transmitted through Computer-mediated Communication(CMC),people remain largely unsuccessful and inefficient in detecting those messages that may be deceptive.At present it is desirable to propose an automated deception detection method that could help people flag the possible deceptive messages in CMC.In this research we first construct the deceptive and non-deceptive Chinese text corpora,which have not been published so far,and then propose a novel classification-based deception detection method of Chinese text based on the corpora analysis results.The experimental results show the precision rate,the recall rate and the F-value may achieve 78.3%,72% and 0.75 in open test,aespectively.