Detecting Spam Vietnamese Email
Tisenko Victor Nikolaevich, Lai Van Duong, Ha Tuan Anh, Nguyen Quang Dam, Nguyen Quoc Hoang · International Journal of Innovative Technology and Exploring Engineering · 2020
Spam messages have been causing much impact on email users. There are many different techniques and measures applied to detect and classify spam messages with other emails. Filters have been installed and configured to detect spam emails based on their identifying characteristics. However, relying only on filters is very easy to miss spam emails because spammers often try to use techniques to bypass the filter's control. The most effective approach in spam detection today is to find ways to analyze the content of emails. However, it is recognized that each natural language will have different analytical and identification characteristics, so it is not possible to use the same technique or method for all languages. In this paper, we will present a method to detect Vietnamese email based on the process of analyzing email content in both HTML and image formats.